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2020 – today
- 2024
[j50]Zichong Li, Pin-Yu Chen, Sijia Liu, Songtao Lu, Yangyang Xu
:
Stochastic inexact augmented Lagrangian method for nonconvex expectation constrained optimization. Comput. Optim. Appl. 87(1): 117-147 (2024)- [j49]Zichong Li, Pin-Yu Chen, Sijia Liu, Songtao Lu, Yangyang Xu:
Correction to: Stochastic inexact augmented Lagrangian method for nonconvex expectation constrained optimization. Comput. Optim. Appl. 89(2): 575-578 (2024) - [j48]Shih-Hsu Huang, Pin-Yu Chen, Stjepan Picek, Chip-Hong Chang:
Guest Editorial: Toward Trustworthy AI: Advances in Circuits, Systems, and Applications. IEEE J. Emerg. Sel. Topics Circuits Syst. 14(4): 577-581 (2024) - [j47]Yue Zheng, Chip-Hong Chang, Shih-Hsu Huang, Pin-Yu Chen, Stjepan Picek:
An Overview of Trustworthy AI: Advances in IP Protection, Privacy-Preserving Federated Learning, Security Verification, and GAI Safety Alignment. IEEE J. Emerg. Sel. Topics Circuits Syst. 14(4): 582-607 (2024) - [j46]Amit Dhurandhar, Tejaswini Pedapati, Avinash Balakrishnan, Pin-Yu Chen, Karthikeyan Shanmugam, Ruchir Puri:
Model Agnostic Contrastive Explanations for Classification Models. IEEE J. Emerg. Sel. Topics Circuits Syst. 14(4): 789-798 (2024) - [j45]Ruoqi Liu, Pin-Yu Chen, Ping Zhang:
CURE: A deep learning framework pre-trained on large-scale patient data for treatment effect estimation. Patterns 5(6): 100973 (2024) - [j44]Vijay Sadashivaiah, Keerthiram Murugesan, Ronny Luss, Pin-Yu Chen, Chris R. Sims, James A. Hendler, Amit Dhurandhar:
To Transfer or Not to Transfer: Suppressing Concepts from Source Representations. Trans. Mach. Learn. Res. 2024 (2024) - [j43]Yung-Chen Tang, Pin-Yu Chen, Tsung-Yi Ho:
Neural Clamping: Joint Input Perturbation and Temperature Scaling for Neural Network Calibration. Trans. Mach. Learn. Res. 2024 (2024) - [c229]Shengwei An, Sheng-Yen Chou, Kaiyuan Zhang, Qiuling Xu, Guanhong Tao, Guangyu Shen, Siyuan Cheng, Shiqing Ma, Pin-Yu Chen, Tsung-Yi Ho, Xiangyu Zhang:
Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift. AAAI 2024: 10847-10855 - [c228]Pin-Yu Chen:
Model Reprogramming: Resource-Efficient Cross-Domain Machine Learning. AAAI 2024: 22584-22591 - [c227]Erh-Chung Chen, Pin-Yu Chen, I-Hsin Chung, Che-Rung Lee:
Latency Attack Resilience in Object Detectors: Insights from Computing Architecture. ACCV (8) 2024: 229-245 - [c226]Megh Thakkar, Quentin Fournier, Matthew Riemer, Pin-Yu Chen, Amal Zouaq, Payel Das, Sarath Chandar:
A Deep Dive into the Trade-Offs of Parameter-Efficient Preference Alignment Techniques. ACL (1) 2024: 5732-5745 - [c225]Chaoyi Zhu, Jeroen Galjaard, Pin-Yu Chen, Lydia Y. Chen:
Duwak: Dual Watermarks in Large Language Models. ACL (Findings) 2024: 11416-11436 - [c224]Zishen Wan, Nandhini Chandramoorthy, Karthik Swaminathan, Pin-Yu Chen, Kshitij Bhardwaj, Vijay Janapa Reddi, Arijit Raychowdhury:
MulBERRY: Enabling Bit-Error Robustness for Energy-Efficient Multi-Agent Autonomous Systems. ASPLOS (2) 2024: 746-762 - [c223]Diganta Misra, Muawiz Chaudhary, Agam Goyal, Bharat Runwal, Pin-Yu Chen:
Uncovering the Hidden Cost of Model Compression. CVPR Workshops 2024: 1611-1621 - [c222]Erh-Chung Chen, Pin-Yu Chen, I-Hsin Chung, Che-Rung Lee:
Overload: Latency Attacks on Object Detection for Edge Devices. CVPR 2024: 24716-24725 - [c221]Ming-Chang Chiu, Yingfei Wang, Yen-Ju Kuo, Pin-Yu Chen:
DDI-CoCo: A Dataset for Understanding the Effect of Color Contrast in Machine-Assisted Skin Disease Detection. ICASSP 2024: 6905-6909 - [c220]Heshan Devaka Fernando, Lisha Chen, Songtao Lu, Pin-Yu Chen, Miao Liu, Subhajit Chaudhury, Keerthiram Murugesan, Gaowen Liu, Meng Wang, Tianyi Chen:
Variance Reduction Can Improve Trade-Off in Multi-Objective Learning. ICASSP 2024: 6975-6979 - [c219]Ming Jin, Shiyu Wang, Lintao Ma, Zhixuan Chu, James Y. Zhang, Xiaoming Shi, Pin-Yu Chen, Yuxuan Liang, Yuan-Fang Li, Shirui Pan, Qingsong Wen:
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models. ICLR 2024 - [c218]Chen Chen, Ruizhe Li, Yuchen Hu, Sabato Marco Siniscalchi, Pin-Yu Chen, Engsiong Chng, Chao-Han Huck Yang:
It's Never Too Late: Fusing Acoustic Information into Large Language Models for Automatic Speech Recognition. ICLR 2024 - [c217]Ming-Yu Chung, Sheng-Yen Chou, Chia-Mu Yu, Pin-Yu Chen, Sy-Yen Kuo, Tsung-Yi Ho:
Rethinking Backdoor Attacks on Dataset Distillation: A Kernel Method Perspective. ICLR 2024 - [c216]Yuchen Hu, Chen Chen, Chao-Han Huck Yang, Ruizhe Li, Chao Zhang, Pin-Yu Chen, Engsiong Chng:
Large Language Models are Efficient Learners of Noise-Robust Speech Recognition. ICLR 2024 - [c215]Yan Liu, Yu Liu, Xiaokang Chen, Pin-Yu Chen, Daoguang Zan, Min-Yen Kan, Tsung-Yi Ho:
The Devil is in the Neurons: Interpreting and Mitigating Social Biases in Language Models. ICLR 2024 - [c214]Xiangyu Qi, Yi Zeng, Tinghao Xie, Pin-Yu Chen, Ruoxi Jia, Prateek Mittal, Peter Henderson:
Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To! ICLR 2024 - [c213]Yu-Lin Tsai, Chia-Yi Hsu, Chulin Xie, Chih-Hsun Lin, Jia-You Chen, Bo Li, Pin-Yu Chen, Chia-Mu Yu, Chun-Ying Huang:
Ring-A-Bell! How Reliable are Concept Removal Methods For Diffusion Models? ICLR 2024 - [c212]Hsi-Ai Tsao, Lei Hsiung, Pin-Yu Chen, Si Liu, Tsung-Yi Ho:
AutoVP: An Automated Visual Prompting Framework and Benchmark. ICLR 2024 - [c211]Shuai Zhang, Heshan Devaka Fernando, Miao Liu, Keerthiram Murugesan, Songtao Lu, Pin-Yu Chen, Tianyi Chen, Meng Wang:
SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning. ICML 2024 - [c210]Zhi-Yi Chin, Chieh-Ming Jiang, Ching-Chun Huang, Pin-Yu Chen, Wei-Chen Chiu:
Prompting4Debugging: Red-Teaming Text-to-Image Diffusion Models by Finding Problematic Prompts. ICML 2024 - [c209]Mohammed Nowaz Rabbani Chowdhury, Meng Wang, Kaoutar El Maghraoui, Naigang Wang, Pin-Yu Chen, Christopher D. Carothers:
A Provably Effective Method for Pruning Experts in Fine-tuned Sparse Mixture-of-Experts. ICML 2024 - [c208]Payel Das, Subhajit Chaudhury, Elliot Nelson, Igor Melnyk, Sarathkrishna Swaminathan, Sihui Dai, Aurélie C. Lozano, Georgios Kollias, Vijil Chenthamarakshan, Jirí Navrátil, Soham Dan, Pin-Yu Chen:
Larimar: Large Language Models with Episodic Memory Control. ICML 2024 - [c207]Zhiyuan He, Yijun Yang, Pin-Yu Chen, Qiang Xu, Tsung-Yi Ho:
Be Your Own Neighborhood: Detecting Adversarial Examples by the Neighborhood Relations Built on Self-Supervised Learning. ICML 2024 - [c206]Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao:
Position: TrustLLM: Trustworthiness in Large Language Models. ICML 2024 - [c205]Ching-Yun Ko, Pin-Yu Chen, Payel Das, Jeet Mohapatra, Luca Daniel:
What Would Gauss Say About Representations? Probing Pretrained Image Models using Synthetic Gaussian Benchmarks. ICML 2024 - [c204]Hongkang Li, Meng Wang, Songtao Lu, Xiaodong Cui, Pin-Yu Chen:
How Do Nonlinear Transformers Learn and Generalize in In-Context Learning? ICML 2024 - [c203]Hongkang Li, Meng Wang, Tengfei Ma, Sijia Liu, Zaixi Zhang, Pin-Yu Chen:
What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding. ICML 2024 - [c202]Asterios Tsiourvas, Wei Sun, Georgia Perakis, Pin-Yu Chen, Yada Zhu:
Learning Optimal Projection for Forecast Reconciliation of Hierarchical Time Series. ICML 2024 - [c201]Yihua Zhang, Pingzhi Li, Junyuan Hong, Jiaxiang Li, Yimeng Zhang, Wenqing Zheng, Pin-Yu Chen, Jason D. Lee, Wotao Yin, Mingyi Hong, Zhangyang Wang, Sijia Liu, Tianlong Chen:
Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark. ICML 2024 - [c200]Hongkang Li, Meng Wang, Shuai Zhang, Sijia Liu, Pin-Yu Chen:
Learning on Transformers is Provable Low-Rank and Sparse: A One-layer Analysis. SAM 2024: 1-5 - [c199]Farhad Mohsin, Qishen Han, Sikai Ruan, Pin-Yu Chen, Francesca Rossi, Lirong Xia:
Computational Complexity of Verifying the Group No-show Paradox. IJCAI 2024: 2958-2966 - [c198]Changchang Yin, Pin-Yu Chen, Bingsheng Yao, Dakuo Wang, Jeffrey M. Caterino, Ping Zhang:
SepsisLab: Early Sepsis Prediction with Uncertainty Quantification and Active Sensing. KDD 2024: 6158-6168 - [c197]Saiteja Utpala, Alex Gu, Pin-Yu Chen:
Language Agnostic Code Embeddings. NAACL-HLT 2024: 678-691 - [c196]Chi Hong, Robert Birke, Pin-Yu Chen, Lydia Y. Chen:
On Dark Knowledge for Distilling Generators. PAKDD (2) 2024: 235-247 - [c195]Chulin Xie, Pin-Yu Chen, Qinbin Li, Arash Nourian, Ce Zhang, Bo Li:
Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM. SaTML 2024: 443-471 - [c194]Andrew Geng, Pin-Yu Chen:
Model Reprogramming Outperforms Fine-tuning on Out-of-distribution Data in Text-Image Encoders. SaTML 2024: 552-568 - [c193]Zhi-Yi Chin, Chieh-Ming Jiang, Ching-Chun Huang, Pin-Yu Chen, Wei-Chen Chiu:
Masking Improves Contrastive Self-Supervised Learning for ConvNets, and Saliency Tells You Where. WACV 2024: 2749-2758 - [i278]Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao:
TrustLLM: Trustworthiness in Large Language Models. CoRR abs/2401.05561 (2024) - [i277]Yuchen Hu, Chen Chen, Chao-Han Huck Yang, Ruizhe Li, Chao Zhang, Pin-Yu Chen, Eng Siong Chng:
Large Language Models are Efficient Learners of Noise-Robust Speech Recognition. CoRR abs/2401.10446 (2024) - [i276]Ming-Chang Chiu, Yingfei Wang, Yen-Ju Kuo, Pin-Yu Chen:
DDI-CoCo: A Dataset For Understanding The Effect Of Color Contrast In Machine-Assisted Skin Disease Detection. CoRR abs/2401.13280 (2024) - [i275]Bharat Runwal, Tejaswini Pedapati, Pin-Yu Chen:
From PEFT to DEFT: Parameter Efficient Finetuning for Reducing Activation Density in Transformers. CoRR abs/2402.01911 (2024) - [i274]Chen Chen, Ruizhe Li, Yuchen Hu, Sabato Marco Siniscalchi, Pin-Yu Chen, Eng Siong Chng, Chao-Han Huck Yang:
It's Never Too Late: Fusing Acoustic Information into Large Language Models for Automatic Speech Recognition. CoRR abs/2402.05457 (2024) - [i273]Yihua Zhang, Pingzhi Li, Junyuan Hong, Jiaxiang Li, Yimeng Zhang, Wenqing Zheng, Pin-Yu Chen, Jason D. Lee, Wotao Yin, Mingyi Hong, Zhangyang Wang, Sijia Liu, Tianlong Chen:
Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark. CoRR abs/2402.11592 (2024) - [i272]Ryan L'Abbate, Anthony D'Onofrio Jr., Samuel Stein, Samuel Yen-Chi Chen, Ang Li, Pin-Yu Chen, Juntao Chen, Ying Mao:
A Quantum-Classical Collaborative Training Architecture Based on Quantum State Fidelity. CoRR abs/2402.15333 (2024) - [i271]Hongkang Li, Meng Wang, Songtao Lu, Xiaodong Cui, Pin-Yu Chen:
Training Nonlinear Transformers for Efficient In-Context Learning: A Theoretical Learning and Generalization Analysis. CoRR abs/2402.15607 (2024) - [i270]Shyam Marjit, Harshit Singh, Nityanand Mathur, Sayak Paul, Chia-Mu Yu, Pin-Yu Chen:
DiffuseKronA: A Parameter Efficient Fine-tuning Method for Personalized Diffusion Models. CoRR abs/2402.17412 (2024) - [i269]Xiaomeng Hu, Pin-Yu Chen, Tsung-Yi Ho:
Gradient Cuff: Detecting Jailbreak Attacks on Large Language Models by Exploring Refusal Loss Landscapes. CoRR abs/2403.00867 (2024) - [i268]Swapnaja Achintalwar, Adriana Alvarado Garcia, Ateret Anaby-Tavor, Ioana Baldini, Sara E. Berger, Bishwaranjan Bhattacharjee, Djallel Bouneffouf, Subhajit Chaudhury, Pin-Yu Chen, Lamogha Chiazor, Elizabeth M. Daly, Rogério Abreu de Paula, Pierre L. Dognin, Eitan Farchi, Soumya Ghosh, Michael Hind, Raya Horesh, George Kour, Ja Young Lee, Erik Miehling, Keerthiram Murugesan, Manish Nagireddy, Inkit Padhi, David Piorkowski, Ambrish Rawat, Orna Raz, Prasanna Sattigeri, Hendrik Strobelt, Sarathkrishna Swaminathan, Christoph Tillmann, Aashka Trivedi, Kush R. Varshney, Dennis Wei, Shalisha Witherspoon, Marcel Zalmanovici:
Detectors for Safe and Reliable LLMs: Implementations, Uses, and Limitations. CoRR abs/2403.06009 (2024) - [i267]Hsin-Ju Lin, Tsu-Chun Chung, Ching-Chun Hsiao, Pin-Yu Chen, Wei-Chen Chiu, Ching-Chun Huang:
MENTOR: Multilingual tExt detectioN TOward leaRning by analogy. CoRR abs/2403.07286 (2024) - [i266]Hongkang Li, Shuai Zhang, Yihua Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen:
How does promoting the minority fraction affect generalization? A theoretical study of the one-hidden-layer neural network on group imbalance. CoRR abs/2403.07310 (2024) - [i265]Andrew Geng, Pin-Yu Chen:
Model Reprogramming Outperforms Fine-tuning on Out-of-distribution Data in Text-Image Encoders. CoRR abs/2403.10800 (2024) - [i264]Payel Das, Subhajit Chaudhury, Elliot Nelson, Igor Melnyk, Sarath Swaminathan, Sihui Dai, Aurélie C. Lozano, Georgios Kollias, Vijil Chenthamarakshan, Jirí Navrátil, Soham Dan, Pin-Yu Chen:
Larimar: Large Language Models with Episodic Memory Control. CoRR abs/2403.11901 (2024) - [i263]Chaoyi Zhu, Jeroen Galjaard, Pin-Yu Chen, Lydia Y. Chen:
Duwak: Dual Watermarks in Large Language Models. CoRR abs/2403.13000 (2024) - [i262]Yi-Shan Lan, Pin-Yu Chen, Tsung-Yi Ho:
NaNa and MiGu: Semantic Data Augmentation Techniques to Enhance Protein Classification in Graph Neural Networks. CoRR abs/2403.14736 (2024) - [i261]Erh-Chung Chen, Pin-Yu Chen, I-Hsin Chung, Che-Rung Lee:
Steal Now and Attack Later: Evaluating Robustness of Object Detection against Black-box Adversarial Attacks. CoRR abs/2404.15881 (2024) - [i260]Zhenhan Huang, Tejaswini Pedapati, Pin-Yu Chen, Chunheng Jiang, Jianxi Gao:
Graph is all you need? Lightweight data-agnostic neural architecture search without training. CoRR abs/2405.01306 (2024) - [i259]Tsuyoshi Idé, Jokin Labaien, Pin-Yu Chen:
Improving Transformers using Faithful Positional Encoding. CoRR abs/2405.09061 (2024) - [i258]Yuchen Hu, Chen Chen, Chao-Han Huck Yang, Chengwei Qin, Pin-Yu Chen, Eng Siong Chng, Chao Zhang:
Self-Taught Recognizer: Toward Unsupervised Adaptation for Speech Foundation Models. CoRR abs/2405.14161 (2024) - [i257]Shuai Zhang, Heshan Devaka Fernando, Miao Liu, Keerthiram Murugesan, Songtao Lu, Pin-Yu Chen, Tianyi Chen, Meng Wang:
SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning. CoRR abs/2405.15920 (2024) - [i256]Mohammed Nowaz Rabbani Chowdhury, Meng Wang, Kaoutar El Maghraoui, Naigang Wang, Pin-Yu Chen, Christopher D. Carothers:
A Provably Effective Method for Pruning Experts in Fine-tuned Sparse Mixture-of-Experts. CoRR abs/2405.16646 (2024) - [i255]Chia-Yi Hsu, Yu-Lin Tsai, Chih-Hsun Lin, Pin-Yu Chen, Chia-Mu Yu, Chun-Ying Huang:
Safe LoRA: the Silver Lining of Reducing Safety Risks when Fine-tuning Large Language Models. CoRR abs/2405.16833 (2024) - [i254]Shengyun Peng, Pin-Yu Chen, Matthew Hull, Duen Horng Chau:
Navigating the Safety Landscape: Measuring Risks in Finetuning Large Language Models. CoRR abs/2405.17374 (2024) - [i253]Xiangyu Qi, Yangsibo Huang, Yi Zeng, Edoardo Debenedetti, Jonas Geiping, Luxi He, Kaixuan Huang, Udari Madhushani, Vikash Sehwag, Weijia Shi, Boyi Wei, Tinghao Xie, Danqi Chen, Pin-Yu Chen, Jeffrey Ding, Ruoxi Jia, Jiaqi Ma, Arvind Narayanan, Weijie J. Su, Mengdi Wang, Chaowei Xiao, Bo Li, Dawn Song, Peter Henderson, Prateek Mittal:
AI Risk Management Should Incorporate Both Safety and Security. CoRR abs/2405.19524 (2024) - [i252]Chen Xiong, Xiangyu Qi, Pin-Yu Chen, Tsung-Yi Ho:
Defensive Prompt Patch: A Robust and Interpretable Defense of LLMs against Jailbreak Attacks. CoRR abs/2405.20099 (2024) - [i251]Zhiyuan He, Pin-Yu Chen, Tsung-Yi Ho:
RIGID: A Training-free and Model-Agnostic Framework for Robust AI-Generated Image Detection. CoRR abs/2405.20112 (2024) - [i250]Hongkang Li, Meng Wang, Tengfei Ma, Sijia Liu, Zaixi Zhang, Pin-Yu Chen:
What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding. CoRR abs/2406.01977 (2024) - [i249]Lin Lu, Hai Yan, Zenghui Yuan, Jiawen Shi, Wenqi Wei, Pin-Yu Chen, Pan Zhou:
AutoJailbreak: Exploring Jailbreak Attacks and Defenses through a Dependency Lens. CoRR abs/2406.03805 (2024) - [i248]Megh Thakkar, Quentin Fournier, Matthew D. Riemer, Pin-Yu Chen, Amal Zouaq, Payel Das, Sarath Chandar:
A Deep Dive into the Trade-Offs of Parameter-Efficient Preference Alignment Techniques. CoRR abs/2406.04879 (2024) - [i247]Wei Li, Pin-Yu Chen, Sijia Liu, Ren Wang:
PSBD: Prediction Shift Uncertainty Unlocks Backdoor Detection. CoRR abs/2406.05826 (2024) - [i246]Yan Liu, Yu Liu, Xiaokang Chen, Pin-Yu Chen, Daoguang Zan, Min-Yen Kan, Tsung-Yi Ho:
The Devil is in the Neurons: Interpreting and Mitigating Social Biases in Pre-trained Language Models. CoRR abs/2406.10130 (2024) - [i245]Hongkang Li, Meng Wang, Shuai Zhang, Sijia Liu, Pin-Yu Chen:
Learning on Transformers is Provable Low-Rank and Sparse: A One-layer Analysis. CoRR abs/2406.17167 (2024) - [i244]Erh-Chung Chen, Pin-Yu Chen, I-Hsin Chung, Che-Rung Lee:
Data-Driven Lipschitz Continuity: A Cost-Effective Approach to Improve Adversarial Robustness. CoRR abs/2406.19622 (2024) - [i243]Changchang Yin, Pin-Yu Chen, Bingsheng Yao, Dakuo Wang, Jeffrey M. Caterino, Ping Zhang:
SepsisLab: Early Sepsis Prediction with Uncertainty Quantification and Active Sensing. CoRR abs/2407.16999 (2024) - [i242]Shashank Kotyan, Pin-Yu Chen, Danilo Vasconcellos Vargas:
Linking Robustness and Generalization: A k* Distribution Analysis of Concept Clustering in Latent Space for Vision Models. CoRR abs/2408.09065 (2024) - [i241]Hsi-Ai Tsao, Lei Hsiung, Pin-Yu Chen, Tsung-Yi Ho:
When Does Visual Prompting Outperform Linear Probing for Vision-Language Models? A Likelihood Perspective. CoRR abs/2409.01821 (2024) - [i240]Youngsun Lim, Hojun Choi, Pin-Yu Chen, Hyunjung Shim:
Evaluating Image Hallucination in Text-to-Image Generation with Question-Answering. CoRR abs/2409.12784 (2024) - [i239]Ambrish Rawat, Stefan Schoepf, Giulio Zizzo, Giandomenico Cornacchia, Muhammad Zaid Hameed, Kieran Fraser, Erik Miehling, Beat Buesser, Elizabeth M. Daly, Mark Purcell, Prasanna Sattigeri, Pin-Yu Chen, Kush R. Varshney:
Attack Atlas: A Practitioner's Perspective on Challenges and Pitfalls in Red Teaming GenAI. CoRR abs/2409.15398 (2024) - [i238]Hongkang Li, Meng Wang, Songtao Lu, Xiaodong Cui, Pin-Yu Chen:
Training Nonlinear Transformers for Chain-of-Thought Inference: A Theoretical Generalization Analysis. CoRR abs/2410.02167 (2024) - [i237]Jiayi Ye, Yanbo Wang, Yue Huang, Dongping Chen, Qihui Zhang, Nuno Moniz, Tian Gao, Werner Geyer, Chao Huang, Pin-Yu Chen, Nitesh V. Chawla, Xiangliang Zhang:
Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge. CoRR abs/2410.02736 (2024) - [i236]Ching-Yun Ko, Pin-Yu Chen, Payel Das, Youssef Mroueh, Soham Dan, Georgios Kollias, Subhajit Chaudhury, Tejaswini Pedapati, Luca Daniel:
Large Language Models can be Strong Self-Detoxifiers. CoRR abs/2410.03818 (2024) - [i235]Xiang Li, Pin-Yu Chen, Wenqi Wei:
SONAR: A Synthetic AI-Audio Detection Framework and Benchmark. CoRR abs/2410.04324 (2024) - [i234]Han Shen, Pin-Yu Chen, Payel Das, Tianyi Chen:
SEAL: Safety-enhanced Aligned LLM Fine-tuning via Bilevel Data Selection. CoRR abs/2410.07471 (2024) - [i233]Sarwan Ali, Taslim Murad, Prakash Chourasia, Haris Mansoor, Imdadullah Khan, Pin-Yu Chen, Murray Patterson:
Position Specific Scoring Is All You Need? Revisiting Protein Sequence Classification Tasks. CoRR abs/2410.12655 (2024) - [i232]Yujun Zhou, Jingdong Yang, Kehan Guo, Pin-Yu Chen, Tian Gao, Werner Geyer, Nuno Moniz, Nitesh V. Chawla, Xiangliang Zhang:
LabSafety Bench: Benchmarking LLMs on Safety Issues in Scientific Labs. CoRR abs/2410.14182 (2024) - [i231]Kuo-Han Hung, Ching-Yun Ko, Ambrish Rawat, I-Hsin Chung, Winston H. Hsu, Pin-Yu Chen:
Attention Tracker: Detecting Prompt Injection Attacks in LLMs. CoRR abs/2411.00348 (2024) - [i230]Yung-Chen Tang, Pin-Yu Chen, Tsung-Yi Ho:
Defining and Evaluating Physical Safety for Large Language Models. CoRR abs/2411.02317 (2024) - [i229]Megh Thakkar, Yash More, Quentin Fournier, Matthew Riemer, Pin-Yu Chen, Amal Zouaq, Payel Das, Sarath Chandar:
Combining Domain and Alignment Vectors to Achieve Better Knowledge-Safety Trade-offs in LLMs. CoRR abs/2411.06824 (2024) - [i228]Jun Qi, Chao-Han Huck Yang, Samuel Yen-Chi Chen, Pin-Yu Chen, Hector Zenil, Jesper Tegnér:
Leveraging Pre-Trained Neural Networks to Enhance Machine Learning with Variational Quantum Circuits. CoRR abs/2411.08552 (2024) - [i227]Jun Qi, Chao-Han Yang, Samuel Yen-Chi Chen, Pin-Yu Chen:
Quantum Machine Learning: An Interplay Between Quantum Computing and Machine Learning. CoRR abs/2411.09403 (2024) - [i226]Zhi-Yi Chin, Kuan-Chen Mu, Mario Fritz, Pin-Yu Chen, Wei-Chen Chiu:
In-Context Experience Replay Facilitates Safety Red-Teaming of Text-to-Image Diffusion Models. CoRR abs/2411.16769 (2024) - [i225]Chung-Ting Tsai, Ching-Yun Ko, I-Hsin Chung, Yu-Chiang Frank Wang, Pin-Yu Chen:
Understanding and Improving Training-Free AI-Generated Image Detections with Vision Foundation Models. CoRR abs/2411.19117 (2024) - [i224]Ming-Chang Chiu, Shicheng Wen, Pin-Yu Chen, Xuezhe Ma:
MegaCOIN: Enhancing Medium-Grained Color Perception for Vision-Language Models. CoRR abs/2412.03927 (2024) - 2023
- [j42]Pin-Yu Chen, Payel Das:
AI Maintenance: A Robustness Perspective. Computer 56(2): 48-56 (2023) - [j41]Yunchuan Liu, Lei Yang, Amir Ghasemkhani, Hanif Livani, Virgilio A. Centeno, Pin-Yu Chen, Junshan Zhang:
Robust Event Classification Using Imperfect Real-World PMU Data. IEEE Internet Things J. 10(9, May 1): 7429-7438 (2023) - [j40]Jokin Labaien, Tsuyoshi Idé, Pin-Yu Chen, Ekhi Zugasti, Xabier De Carlos:
Diagnostic spatio-temporal transformer with faithful encoding. Knowl. Based Syst. 274: 110639 (2023) - [j39]Jun Qi, Chao-Han Huck Yang, Pin-Yu Chen, Javier Tejedor:
Exploiting Low-Rank Tensor-Train Deep Neural Networks Based on Riemannian Gradient Descent With Illustrations of Speech Processing. IEEE ACM Trans. Audio Speech Lang. Process. 31: 633-642 (2023) - [c192]Jiajin Zhang, Hanqing Chao, Amit Dhurandhar, Pin-Yu Chen, Ali Tajer, Yangyang Xu, Pingkun Yan:
When Neural Networks Fail to Generalize? A Model Sensitivity Perspective. AAAI 2023: 11219-11227 - [c191]Pin-Yu Chen, Sijia Liu:
Holistic Adversarial Robustness of Deep Learning Models. AAAI 2023: 15411-15420 - [c190]Lei Hsiung, Yung-Chen Tang, Pin-Yu Chen, Tsung-Yi Ho:
NCTV: Neural Clamping Toolkit and Visualization for Neural Network Calibration. AAAI 2023: 16446-16448 - [c189]Dennis Wei, Haoze Wu, Min Wu, Pin-Yu Chen, Clark W. Barrett, Eitan Farchi:
Convex Bounds on the Softmax Function with Applications to Robustness Verification. AISTATS 2023: 6853-6878 - [c188]Farhad Mohsin, Qishen Han, Sikai Ruan, Pin-Yu Chen, Francesca Rossi, Lirong Xia:
Computational Complexity of Verifying the Group No-show Paradox. AAMAS 2023: 2877-2879 - [c187]Chulin Xie, Yunhui Long, Pin-Yu Chen, Qinbin Li, Sanmi Koyejo, Bo Li:
Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning Attacks. CCS 2023: 1511-1525 - [c186]Sarwan Ali, Babatunde Bello, Prakash Chourasia, Ria Thazhe Punathil, Pin-Yu Chen, Imdadullah Khan, Murray Patterson:
Counterfactually Guided Policy Transfer in Clinical Settings. CHIL 2023: 6-18 - [c185]Jia-Hong Huang, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hung Chen, Marcel Worring:
Causalainer: Causal Explainer for Automatic Video Summarization. CVPR Workshops 2023: 2630-2636 - [c184]Sheng-Yen Chou, Pin-Yu Chen, Tsung-Yi Ho:
How to Backdoor Diffusion Models? CVPR 2023: 4015-4024 - [c183]Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zhang, Sijia Liu:
Understanding and Improving Visual Prompting: A Label-Mapping Perspective. CVPR 2023: 19133-19143 - [c182]Lei Hsiung, Yun-Yun Tsai, Pin-Yu Chen, Tsung-Yi Ho:
Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations. CVPR 2023: 24658-24667 - [c181]Zishen Wan, Nandhini Chandramoorthy, Karthik Swaminathan, Pin-Yu Chen, Vijay Janapa Reddi, Arijit Raychowdhury:
BERRY: Bit Error Robustness for Energy-Efficient Reinforcement Learning-Based Autonomous Systems. DAC 2023: 1-6 - [c180]Saiteja Utpala, Sara Hooker, Pin-Yu Chen:
Locally Differentially Private Document Generation Using Zero Shot Prompting. EMNLP (Findings) 2023: 8442-8457 - [c179]Neel Bhandari, Pin-Yu Chen:
Lost In Translation: Generating Adversarial Examples Robust to Round-Trip Translation. ICASSP 2023: 1-5 - [c178]Aochuan Chen, Peter Lorenz, Yuguang Yao, Pin-Yu Chen, Sijia Liu:
Visual Prompting for Adversarial Robustness. ICASSP 2023: 1-5 - [c177]Jhih-Cing Huang, Yu-Lin Tsai, Chao-Han Huck Yang, Cheng-Fang Su, Chia-Mu Yu, Pin-Yu Chen, Sy-Yen Kuo:
Certified Robustness of Quantum Classifiers Against Adversarial Examples Through Quantum Noise. ICASSP 2023: 1-5 - [c176]Yun-Ning Hung, Chao-Han Huck Yang, Pin-Yu Chen, Alexander Lerch:
Low-Resource Music Genre Classification with Cross-Modal Neural Model Reprogramming. ICASSP 2023: 1-5 - [c175]Yihua Zhang, Ruisi Cai, Tianlong Chen, Guanhua Zhang, Huan Zhang, Pin-Yu Chen, Shiyu Chang, Zhangyang Wang, Sijia Liu:
Robust Mixture-of-Expert Training for Convolutional Neural Networks. ICCV 2023: 90-101 - [c174]Ming-Chang Chiu, Pin-Yu Chen, Xuezhe Ma:
Better May Not Be Fairer: A Study on Subgroup Discrepancy in Image Classification. ICCV 2023: 4933-4943 - [c173]Yizhe Li, Yu-Lin Tsai, Chia-Mu Yu, Pin-Yu Chen, Xuebin Ren:
Exploring the Benefits of Visual Prompting in Differential Privacy. ICCV 2023: 5135-5144 - [c172]Kaiyuan Zhang, Guanhong Tao, Qiuling Xu, Siyuan Cheng, Shengwei An, Yingqi Liu, Shiwei Feng, Guangyu Shen, Pin-Yu Chen, Shiqing Ma, Xiangyu Zhang:
FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning. ICLR 2023 - [c171]Shuai Zhang, Meng Wang, Pin-Yu Chen, Sijia Liu, Songtao Lu, Miao Liu:
Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks. ICLR 2023 - [c170]Hongkang Li, Meng Wang, Sijia Liu, Pin-Yu Chen:
A Theoretical Understanding of Shallow Vision Transformers: Learning, Generalization, and Sample Complexity. ICLR 2023 - [c169]Minhao Cheng, Rui Min, Haochen Sun, Pin-Yu Chen:
Identification of the Adversary from a Single Adversarial Example. ICML 2023: 5472-5484 - [c168]Mohammed Nowaz Rabbani Chowdhury, Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen:
Patch-level Routing in Mixture-of-Experts is Provably Sample-efficient for Convolutional Neural Networks. ICML 2023: 6074-6114 - [c167]Sihui Dai, Saeed Mahloujifar, Chong Xiang, Vikash Sehwag, Pin-Yu Chen, Prateek Mittal:
MultiRobustBench: Benchmarking Robustness Against Multiple Attacks. ICML 2023: 6760-6785 - [c166]Igor Melnyk, Vijil Chenthamarakshan, Pin-Yu Chen, Payel Das, Amit Dhurandhar, Inkit Padhi, Devleena Das:
Reprogramming Pretrained Language Models for Antibody Sequence Infilling. ICML 2023: 24398-24419 - [c165]Yihao Xue, Siddharth Joshi, Eric Gan, Pin-Yu Chen, Baharan Mirzasoleiman:
Which Features are Learnt by Contrastive Learning? On the Role of Simplicity Bias in Class Collapse and Feature Suppression. ICML 2023: 38938-38970 - [c164]Yonggui Yan, Jie Chen, Pin-Yu Chen, Xiaodong Cui, Songtao Lu, Yangyang Xu:
Compressed Decentralized Proximal Stochastic Gradient Method for Nonconvex Composite Problems with Heterogeneous Data. ICML 2023: 39035-39061 - [c163]Farhad Mohsin, Ao Liu, Pin-Yu Chen, Francesca Rossi, Lirong Xia:
Learning to Design Fair and Private Voting Rules (Extended Abstract). IJCAI 2023: 6931-6936 - [c162]Hao Yen, Pin-Jui Ku, Chao-Han Huck Yang, Hu Hu, Sabato Marco Siniscalchi, Pin-Yu Chen, Yu Tsao:
Neural Model Reprogramming with Similarity Based Mapping for Low-Resource Spoken Command Recognition. INTERSPEECH 2023: 3317-3321 - [c161]Hsin-Ju Lin, Tsu-Chun Chung, Ching-Chun Hsiao, Pin-Yu Chen, Wei-Chen Chiu, Ching-Chun Huang:
MENTOR: Multilingual Text Detection Toward Learning by Analogy. IROS 2023: 3248-3255 - [c160]Sarwan Ali, Pin-Yu Chen, Murray Patterson:
Unveiling the Robustness of Machine Learning Models in Classifying COVID-19 Spike Sequences. ISBRA 2023: 1-15 - [c159]Jiajin Zhang, Hanqing Chao, Amit Dhurandhar, Pin-Yu Chen, Ali Tajer, Yangyang Xu, Pingkun Yan:
Spectral Adversarial MixUp for Few-Shot Unsupervised Domain Adaptation. MICCAI (1) 2023: 728-738 - [c158]Tsun-An Hsieh, Chao-Han Huck Yang, Pin-Yu Chen, Sabato Marco Siniscalchi, Yu Tsao:
Inference and Denoise: Causal Inference-Based Neural Speech Enhancement. MLSP 2023: 1-6 - [c157]Chen Chen, Yuchen Hu, Chao-Han Huck Yang, Sabato Marco Siniscalchi, Pin-Yu Chen, Chng Eng Siong:
HyPoradise: An Open Baseline for Generative Speech Recognition with Large Language Models. NeurIPS 2023 - [c156]Sheng-Yen Chou, Pin-Yu Chen, Tsung-Yi Ho:
VillanDiffusion: A Unified Backdoor Attack Framework for Diffusion Models. NeurIPS 2023 - [c155]Xiaomeng Hu, Pin-Yu Chen, Tsung-Yi Ho:
RADAR: Robust AI-Text Detection via Adversarial Learning. NeurIPS 2023 - [c154]Yan Liu, Xiaokang Chen, Yan Gao, Zhe Su, Fengji Zhang, Daoguang Zan, Jian-Guang Lou, Pin-Yu Chen, Tsung-Yi Ho:
Uncovering and Quantifying Social Biases in Code Generation. NeurIPS 2023 - [c153]Shuai Zhang, Hongkang Li, Meng Wang, Miao Liu, Pin-Yu Chen, Songtao Lu, Sijia Liu, Keerthiram Murugesan, Subhajit Chaudhury:
On the Convergence and Sample Complexity Analysis of Deep Q-Networks with ε-Greedy Exploration. NeurIPS 2023 - [c152]Huzaifa Arif, Alex Gittens, Pin-Yu Chen:
Reprogrammable-FL: Improving Utility-Privacy Tradeoff in Federated Learning via Model Reprogramming. SaTML 2023: 197-209 - [c151]Washington Garcia, Pin-Yu Chen, Hamilton Scott Clouse, Somesh Jha, Kevin R. B. Butler:
Less is More: Dimension Reduction Finds On-Manifold Adversarial Examples in Hard-Label Attacks. SaTML 2023: 254-270 - [c150]Chao-Han Huck Yang, Zhengling Qi, Yifan Cui, Pin-Yu Chen:
Pessimistic Model Selection for Offline Deep Reinforcement Learning. UAI 2023: 2379-2389 - [c149]Chao-Han Huck Yang, I-Te Danny Hung, Yi-Chieh Liu, Pin-Yu Chen:
Treatment Learning Causal Transformer for Noisy Image Classification. WACV 2023: 6128-6139 - [i223]Ria Vinod, Pin-Yu Chen, Payel Das:
Reprogramming Pretrained Language Models for Protein Sequence Representation Learning. CoRR abs/2301.02120 (2023) - [i222]Pin-Yu Chen, Payel Das:
AI Maintenance: A Robustness Perspective. CoRR abs/2301.03052 (2023) - [i221]Alex Gu, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel:
Certified Interpretability Robustness for Class Activation Mapping. CoRR abs/2301.11324 (2023) - [i220]Shuai Zhang, Meng Wang, Pin-Yu Chen, Sijia Liu, Songtao Lu, Miao Liu:
Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks. CoRR abs/2302.02922 (2023) - [i219]Hongkang Li, Meng Wang, Sijia Liu, Pin-Yu Chen:
A Theoretical Understanding of shallow Vision Transformers: Learning, Generalization, and Sample Complexity. CoRR abs/2302.06015 (2023) - [i218]Sihui Dai, Saeed Mahloujifar, Chong Xiang, Vikash Sehwag, Pin-Yu Chen, Prateek Mittal:
MultiRobustBench: Benchmarking Robustness Against Multiple Attacks. CoRR abs/2302.10980 (2023) - [i217]Dennis Wei, Haoze Wu, Min Wu, Pin-Yu Chen, Clark W. Barrett, Eitan Farchi:
Convex Bounds on the Softmax Function with Applications to Robustness Verification. CoRR abs/2303.01713 (2023) - [i216]Yizhe Li, Yu-Lin Tsai, Xuebin Ren, Chia-Mu Yu, Pin-Yu Chen:
Exploring the Benefits of Visual Prompting in Differential Privacy. CoRR abs/2303.12247 (2023) - [i215]Erh-Chung Chen, Pin-Yu Chen, I-Hsin Chung, Che-Rung Lee:
Overload: Latency Attacks on Object Detection for Edge Devices. CoRR abs/2304.05370 (2023) - [i214]Zaitang Li, Pin-Yu Chen, Tsung-Yi Ho:
GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative Models. CoRR abs/2304.09875 (2023) - [i213]Sarwan Ali, Babatunde Bello, Prakash Chourasia, Ria Thazhe Punathil, Pin-Yu Chen, Imdadullah Khan, Murray Patterson:
Virus2Vec: Viral Sequence Classification Using Machine Learning. CoRR abs/2304.12328 (2023) - [i212]Jia-Hong Huang, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hung Chen, Marcel Worring:
Causalainer: Causal Explainer for Automatic Video Summarization. CoRR abs/2305.00455 (2023) - [i211]Yan Liu, Xiaokang Chen, Yan Gao, Zhe Su, Fengji Zhang, Daoguang Zan, Jian-Guang Lou, Pin-Yu Chen, Tsung-Yi Ho:
Uncovering and Quantifying Social Biases in Code Generation. CoRR abs/2305.15377 (2023) - [i210]Yihao Xue, Siddharth Joshi, Eric Gan, Pin-Yu Chen, Baharan Mirzasoleiman:
Which Features are Learnt by Contrastive Learning? On the Role of Simplicity Bias in Class Collapse and Feature Suppression. CoRR abs/2305.16536 (2023) - [i209]Jokin Labaien, Tsuyoshi Idé, Pin-Yu Chen, Ekhi Zugasti, Xabier De Carlos:
Diagnostic Spatio-temporal Transformer with Faithful Encoding. CoRR abs/2305.17149 (2023) - [i208]Mohammed Nowaz Rabbani Chowdhury, Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen:
Patch-level Routing in Mixture-of-Experts is Provably Sample-efficient for Convolutional Neural Networks. CoRR abs/2306.04073 (2023) - [i207]Sheng-Yen Chou, Pin-Yu Chen, Tsung-Yi Ho:
VillanDiffusion: A Unified Backdoor Attack Framework for Diffusion Models. CoRR abs/2306.06874 (2023) - [i206]Hao-Lun Sun, Lei Hsiung, Nandhini Chandramoorthy, Pin-Yu Chen, Tsung-Yi Ho:
NeuralFuse: Learning to Improve the Accuracy of Access-Limited Neural Network Inference in Low-Voltage Regimes. CoRR abs/2306.16869 (2023) - [i205]Jia-Hong Huang, Chao-Han Huck Yang, Pin-Yu Chen, Andrew Brown, Marcel Worring:
Causal Video Summarizer for Video Exploration. CoRR abs/2307.01947 (2023) - [i204]Xiaomeng Hu, Pin-Yu Chen, Tsung-Yi Ho:
RADAR: Robust AI-Text Detection via Adversarial Learning. CoRR abs/2307.03838 (2023) - [i203]Zishen Wan, Nandhini Chandramoorthy, Karthik Swaminathan, Pin-Yu Chen, Vijay Janapa Reddi, Arijit Raychowdhury:
BERRY: Bit Error Robustness for Energy-Efficient Reinforcement Learning-Based Autonomous Systems. CoRR abs/2307.10041 (2023) - [i202]Neel Bhandari, Pin-Yu Chen:
Lost In Translation: Generating Adversarial Examples Robust to Round-Trip Translation. CoRR abs/2307.12520 (2023) - [i201]Yihua Zhang, Ruisi Cai, Tianlong Chen, Guanhua Zhang, Huan Zhang, Pin-Yu Chen, Shiyu Chang, Zhangyang Wang, Sijia Liu:
Robust Mixture-of-Expert Training for Convolutional Neural Networks. CoRR abs/2308.10110 (2023) - [i200]Diganta Misra, Agam Goyal, Bharat Runwal, Pin-Yu Chen:
Reprogramming under constraints: Revisiting efficient and reliable transferability of lottery tickets. CoRR abs/2308.14969 (2023) - [i199]Jiajin Zhang, Hanqing Chao, Amit Dhurandhar, Pin-Yu Chen, Ali Tajer, Yangyang Xu, Pingkun Yan:
Spectral Adversarial MixUp for Few-Shot Unsupervised Domain Adaptation. CoRR abs/2309.01207 (2023) - [i198]Zhi-Yi Chin, Chieh-Ming Jiang, Ching-Chun Huang, Pin-Yu Chen, Wei-Chen Chiu:
Prompting4Debugging: Red-Teaming Text-to-Image Diffusion Models by Finding Problematic Prompts. CoRR abs/2309.06135 (2023) - [i197]Xilong Wang, Chia-Mu Yu, Pin-Yu Chen:
Exploring the Benefits of Differentially Private Pre-training and Parameter-Efficient Fine-tuning for Table Transformers. CoRR abs/2309.06526 (2023) - [i196]Zhi-Yi Chin, Chieh-Ming Jiang, Ching-Chun Huang, Pin-Yu Chen, Wei-Chen Chiu:
Masking Improves Contrastive Self-Supervised Learning for ConvNets, and Saliency Tells You Where. CoRR abs/2309.12757 (2023) - [i195]Chen Chen, Yuchen Hu, Chao-Han Huck Yang, Sabato Marco Siniscalchi, Pin-Yu Chen, Eng Siong Chng:
HyPoradise: An Open Baseline for Generative Speech Recognition with Large Language Models. CoRR abs/2309.15701 (2023) - [i194]Ming Jin, Shiyu Wang, Lintao Ma, Zhixuan Chu, James Y. Zhang, Xiaoming Shi, Pin-Yu Chen, Yuxuan Liang, Yuan-Fang Li, Shirui Pan, Qingsong Wen:
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models. CoRR abs/2310.01728 (2023) - [i193]Xiangyu Qi, Yi Zeng, Tinghao Xie, Pin-Yu Chen, Ruoxi Jia, Prateek Mittal, Peter Henderson:
Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To! CoRR abs/2310.03693 (2023) - [i192]Hsi-Ai Tsao, Lei Hsiung, Pin-Yu Chen, Sijia Liu, Tsung-Yi Ho:
AutoVP: An Automated Visual Prompting Framework and Benchmark. CoRR abs/2310.08381 (2023) - [i191]Yu-Lin Tsai, Chia-Yi Hsu, Chulin Xie, Chih-Hsun Lin, Jia-You Chen, Bo Li, Pin-Yu Chen, Chia-Mu Yu, Chun-Ying Huang:
Ring-A-Bell! How Reliable are Concept Removal Methods for Diffusion Models? CoRR abs/2310.10012 (2023) - [i190]Saiteja Utpala, Sara Hooker, Pin-Yu Chen:
Locally Differentially Private Document Generation Using Zero Shot Prompting. CoRR abs/2310.16111 (2023) - [i189]Shuai Zhang, Hongkang Li, Meng Wang, Miao Liu, Pin-Yu Chen, Songtao Lu, Sijia Liu, Keerthiram Murugesan, Subhajit Chaudhury:
On the Convergence and Sample Complexity Analysis of Deep Q-Networks with ε-Greedy Exploration. CoRR abs/2310.16173 (2023) - [i188]Saiteja Utpala, Alex Gu, Pin-Yu Chen:
Language Agnostic Code Embeddings. CoRR abs/2310.16803 (2023) - [i187]Jia-Hong Huang, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hung Chen, Marcel Worring:
Conditional Modeling Based Automatic Video Summarization. CoRR abs/2311.12159 (2023) - [i186]Ming-Yu Chung, Sheng-Yen Chou, Chia-Mu Yu, Pin-Yu Chen, Sy-Yen Kuo, Tsung-Yi Ho:
Rethinking Backdoor Attacks on Dataset Distillation: A Kernel Method Perspective. CoRR abs/2311.16646 (2023) - [i185]Shengwei An, Sheng-Yen Chou, Kaiyuan Zhang, Qiuling Xu, Guanhong Tao, Guangyu Shen, Siyuan Cheng, Shiqing Ma, Pin-Yu Chen, Tsung-Yi Ho, Xiangyu Zhang:
Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift. CoRR abs/2312.00050 (2023) - 2022
- [j38]Farhad Mohsin, Ao Liu, Pin-Yu Chen, Francesca Rossi, Lirong Xia:
Learning to Design Fair and Private Voting Rules. J. Artif. Intell. Res. 75: 1139-1176 (2022) - [j37]Samuel C. Hoffman, Vijil Chenthamarakshan, Kahini Wadhawan, Pin-Yu Chen, Payel Das:
Optimizing molecules using efficient queries from property evaluations. Nat. Mach. Intell. 4(1): 21-31 (2022) - [j36]Rulin Shao, Zhouxing Shi, Jinfeng Yi, Pin-Yu Chen, Cho-Jui Hsieh:
On the Adversarial Robustness of Vision Transformers. Trans. Mach. Learn. Res. 2022 (2022) - [j35]Arpan Mukherjee, Ali Tajer, Pin-Yu Chen, Payel Das:
Active Sampling of Multiple Sources for Sequential Estimation. IEEE Trans. Signal Process. 70: 4571-4585 (2022) - [c148]Sayak Paul, Pin-Yu Chen:
Vision Transformers Are Robust Learners. AAAI 2022: 2071-2081 - [c147]Chia-Yi Hsu, Pin-Yu Chen, Songtao Lu, Sijia Liu, Chia-Mu Yu:
Adversarial Examples Can Be Effective Data Augmentation for Unsupervised Machine Learning. AAAI 2022: 6926-6934 - [c146]Zichong Li, Pin-Yu Chen, Sijia Liu, Songtao Lu, Yangyang Xu:
Zeroth-Order Optimization for Composite Problems with Functional Constraints. AAAI 2022: 7453-7461 - [c145]Chao-Han Huck Yang, I-Te Danny Hung, Yi Ouyang, Pin-Yu Chen:
Training a Resilient Q-network against Observational Interference. AAAI 2022: 8814-8822 - [c144]Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang:
AI Explainability 360: Impact and Design. AAAI 2022: 12651-12657 - [c143]Maurício Gruppi, Sibel Adali, Pin-Yu Chen:
SenSE: A Toolkit for Semantic Change Exploration via Word Embedding Alignment. AAAI 2022: 13170-13172 - [c142]Rulin Shao, Zhouxing Shi, Jinfeng Yi, Pin-Yu Chen, Cho-Jui Hsieh:
Robust Text CAPTCHAs Using Adversarial Examples. IEEE Big Data 2022: 1495-1504 - [c141]Jiachen Sun, Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Dan Hendrycks, Jihun Hamm, Z. Morley Mao:
A Spectral View of Randomized Smoothing Under Common Corruptions: Benchmarking and Improving Certified Robustness. ECCV (4) 2022: 654-671 - [c140]Shibal Ibrahim, Wenyu Chen, Yada Zhu, Pin-Yu Chen, Yang Zhang, Rahul Mazumder:
Knowledge Graph Guided Simultaneous Forecasting and Network Learning for Multivariate Financial Time Series. ICAIF 2022: 480-488 - [c139]Chang-Sheng Lin, Chia-Yi Hsu, Pin-Yu Chen, Chia-Mu Yu:
Real-World Adversarial Examples Via Makeup. ICASSP 2022: 2854-2858 - [c138]Vardaan Taneja, Pin-Yu Chen, Yuguang Yao, Sijia Liu:
When Does Backdoor Attack Succeed in Image Reconstruction? A Study of Heuristics vs. Bi-Level Solution. ICASSP 2022: 4398-4402 - [c137]Chao-Han Huck Yang, Jun Qi, Samuel Yen-Chi Chen, Yu Tsao, Pin-Yu Chen:
When BERT Meets Quantum Temporal Convolution Learning for Text Classification in Heterogeneous Computing. ICASSP 2022: 8602-8606 - [c136]Zishen Wan, Karthik Swaminathan, Pin-Yu Chen, Nandhini Chandramoorthy, Arijit Raychowdhury:
Analyzing and Improving Resilience and Robustness of Autonomous Systems. ICCAD 2022: 102:1-102:9 - [c135]Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong:
How unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis. ICLR 2022 - [c134]Chia-Hsiang Kao, Wei-Chen Chiu, Pin-Yu Chen:
MAML is a Noisy Contrastive Learner in Classification. ICLR 2022 - [c133]Keerthiram Murugesan, Vijay Sadashivaiah, Ronny Luss, Karthikeyan Shanmugam, Pin-Yu Chen, Amit Dhurandhar:
Auto-Transfer: Learning to Route Transferable Representations. ICLR 2022 - [c132]Jia-Hong Huang, Chao-Han Huck Yang, Pin-Yu Chen, Andrew Brown, Marcel Worring:
Causal Video Summarizer for Video Exploration. ICME 2022: 1-6 - [c131]Momin Abbas, Quan Xiao, Lisha Chen, Pin-Yu Chen, Tianyi Chen:
Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning. ICML 2022: 10-32 - [c130]Tianlong Chen, Huan Zhang, Zhenyu Zhang, Shiyu Chang, Sijia Liu, Pin-Yu Chen, Zhangyang Wang:
Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness. ICML 2022: 3760-3772 - [c129]Ching-Yun Ko, Jeet Mohapatra, Sijia Liu, Pin-Yu Chen, Luca Daniel, Lily Weng:
Revisiting Contrastive Learning through the Lens of Neighborhood Component Analysis: an Integrated Framework. ICML 2022: 11387-11412 - [c128]Hongkang Li, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong:
Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling. ICML 2022: 13014-13051 - [c127]Minhao Cheng, Qi Lei, Pin-Yu Chen, Inderjit S. Dhillon, Cho-Jui Hsieh:
CAT: Customized Adversarial Training for Improved Robustness. IJCAI 2022: 673-679 - [c126]Celia Cintas, Payel Das, Brian Quanz, Girmaw Abebe Tadesse, Skyler Speakman, Pin-Yu Chen:
Towards Creativity Characterization of Generative Models via Group-Based Subset Scanning. IJCAI 2022: 4929-4935 - [c125]Lei Hsiung, Yun-Yun Tsai, Pin-Yu Chen, Tsung-Yi Ho:
CARBEN: Composite Adversarial Robustness Benchmark. IJCAI 2022: 5908-5911 - [c124]Wenrui Mu, Ying Mao, Long Cheng, Qingle Wang, Weiwen Jiang, Pin-Yu Chen:
Iterative Qubits Management for Quantum Index Searching in a Hybrid System. IPCCC 2022: 283-289 - [c123]Pin-Yu Chen, Cho-Jui Hsieh, Bo Li, Sijia Liu:
The Fourth Workshop on Adversarial Learning Methods for Machine Learning and Data Mining (AdvML 2022). KDD 2022: 4858-4859 - [c122]Yong Xie, Dakuo Wang, Pin-Yu Chen, Jinjun Xiong, Sijia Liu, Oluwasanmi Koyejo:
A Word is Worth A Thousand Dollars: Adversarial Attack on Tweets Fools Stock Prediction. NAACL-HLT 2022: 587-599 - [c121]Yu Hsuan Li, Tzu-Yin Chao, Ching-Chun Huang, Pin-Yu Chen, Wei-Chen Chiu:
Make an Omelette with Breaking Eggs: Zero-Shot Learning for Novel Attribute Synthesis. NeurIPS 2022 - [c120]Gaoyuan Zhang, Songtao Lu, Yihua Zhang, Xiangyi Chen, Pin-Yu Chen, Quanfu Fan, Lee Martie, Lior Horesh, Mingyi Hong, Sijia Liu:
Distributed adversarial training to robustify deep neural networks at scale. UAI 2022: 2353-2363 - [p1]Xiao Jin, Pin-Yu Chen, Tianyi Chen:
Data Leakage in Federated Learning. Federated Learning 2022: 337-361 - [i184]Chunheng Jiang, Tejaswini Pedapati, Pin-Yu Chen, Yizhou Sun, Jianxi Gao:
Neural Capacitance: A New Perspective of Neural Network Selection via Edge Dynamics. CoRR abs/2201.04194 (2022) - [i183]Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong:
How does unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis. CoRR abs/2201.08514 (2022) - [i182]Keerthiram Murugesan, Vijay Sadashivaiah, Ronny Luss, Karthikeyan Shanmugam, Pin-Yu Chen, Amit Dhurandhar:
Auto-Transfer: Learning to Route Transferrable Representations. CoRR abs/2202.01011 (2022) - [i181]Yun-Yun Tsai, Lei Hsiung, Pin-Yu Chen, Tsung-Yi Ho:
Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations. CoRR abs/2202.04235 (2022) - [i180]Pin-Yu Chen, Sijia Liu:
Holistic Adversarial Robustness of Deep Learning Models. CoRR abs/2202.07201 (2022) - [i179]Pin-Yu Chen:
Model Reprogramming: Resource-Efficient Cross-Domain Machine Learning. CoRR abs/2202.10629 (2022) - [i178]Celia Cintas, Payel Das, Brian Quanz, Girmaw Abebe Tadesse, Skyler Speakman, Pin-Yu Chen:
Towards Creativity Characterization of Generative Models via Group-based Subset Scanning. CoRR abs/2203.00523 (2022) - [i177]Chao-Han Huck Yang, Jun Qi, Samuel Yen-Chi Chen, Yu Tsao, Pin-Yu Chen:
When BERT Meets Quantum Temporal Convolution Learning for Text Classification in Heterogeneous Computing. CoRR abs/2203.03550 (2022) - [i176]Jun Qi, Chao-Han Huck Yang, Pin-Yu Chen, Javier Tejedor:
Exploiting Low-Rank Tensor-Train Deep Neural Networks Based on Riemannian Gradient Descent With Illustrations of Speech Processing. CoRR abs/2203.06031 (2022) - [i175]Chao-Han Huck Yang, I-Te Danny Hung, Yi-Chieh Liu, Pin-Yu Chen:
Treatment Learning Transformer for Noisy Image Classification. CoRR abs/2203.15529 (2022) - [i174]Abolaji D. Adesoji, Pin-Yu Chen:
Evaluating the Adversarial Robustness for Fourier Neural Operators. CoRR abs/2204.04259 (2022) - [i173]Yong Xie, Dakuo Wang, Pin-Yu Chen, Jinjun Xiong, Sijia Liu, Sanmi Koyejo:
A Word is Worth A Thousand Dollars: Adversarial Attack on Tweets Fools Stock Prediction. CoRR abs/2205.01094 (2022) - [i172]N. Joseph Tatro, Payel Das, Pin-Yu Chen, Vijil Chenthamarakshan, Rongjie Lai:
Learning Geometrically Disentangled Representations of Protein Folding Simulations. CoRR abs/2205.10423 (2022) - [i171]Momin Abbas, Quan Xiao, Lisha Chen, Pin-Yu Chen, Tianyi Chen:
Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning. CoRR abs/2206.03996 (2022) - [i170]Jun Qi, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hsiu Hsieh:
Theoretical Error Performance Analysis for Variational Quantum Circuit Based Functional Regression. CoRR abs/2206.04804 (2022) - [i169]Gaoyuan Zhang, Songtao Lu, Yihua Zhang, Xiangyi Chen, Pin-Yu Chen, Quanfu Fan, Lee Martie, Lior Horesh, Mingyi Hong, Sijia Liu:
Distributed Adversarial Training to Robustify Deep Neural Networks at Scale. CoRR abs/2206.06257 (2022) - [i168]Tianlong Chen, Huan Zhang, Zhenyu Zhang, Shiyu Chang, Sijia Liu, Pin-Yu Chen, Zhangyang Wang:
Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness. CoRR abs/2206.07839 (2022) - [i167]Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Jihun Hamm:
On Certifying and Improving Generalization to Unseen Domains. CoRR abs/2206.12364 (2022) - [i166]Hongkang Li, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong:
Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling. CoRR abs/2207.03584 (2022) - [i165]Lei Hsiung, Yun-Yun Tsai, Pin-Yu Chen, Tsung-Yi Ho:
CARBEN: Composite Adversarial Robustness Benchmark. CoRR abs/2207.07797 (2022) - [i164]Sarwan Ali, Bikram Sahoo, Alexander Zelikovskiy, Pin-Yu Chen, Murray Patterson:
Benchmarking Machine Learning Robustness in Covid-19 Genome Sequence Classification. CoRR abs/2207.08898 (2022) - [i163]Chulin Xie, Pin-Yu Chen, Ce Zhang, Bo Li:
Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM. CoRR abs/2207.10226 (2022) - [i162]Arpan Mukherjee, Ali Tajer, Pin-Yu Chen, Payel Das:
Active Sampling of Multiple Sources for Sequential Estimation. CoRR abs/2208.05406 (2022) - [i161]Zhiyuan He, Yijun Yang, Pin-Yu Chen, Qiang Xu, Tsung-Yi Ho:
Be Your Own Neighborhood: Detecting Adversarial Example by the Neighborhood Relations Built on Self-Supervised Learning. CoRR abs/2209.00005 (2022) - [i160]Chulin Xie, Yunhui Long, Pin-Yu Chen, Bo Li:
Uncovering the Connection Between Differential Privacy and Certified Robustness of Federated Learning against Poisoning Attacks. CoRR abs/2209.04030 (2022) - [i159]Wenrui Mu, Ying Mao, Long Cheng, Qingle Wang, Weiwen Jiang, Pin-Yu Chen:
Iterative Qubits Management for Quantum Index Searching in a Hybrid System. CoRR abs/2209.11329 (2022) - [i158]Yung-Chen Tang, Pin-Yu Chen, Tsung-Yi Ho:
Neural Clamping: Joint Input Perturbation and Temperature Scaling for Neural Network Calibration. CoRR abs/2209.11604 (2022) - [i157]Ching-Yun Ko, Pin-Yu Chen, Jeet Mohapatra, Payel Das, Luca Daniel:
SynBench: Task-Agnostic Benchmarking of Pretrained Representations using Synthetic Data. CoRR abs/2210.02989 (2022) - [i156]Zhixu Du, Jingwei Sun, Ang Li, Pin-Yu Chen, Jianyi Zhang, Hai (Helen) Li, Yiran Chen:
Rethinking Normalization Methods in Federated Learning. CoRR abs/2210.03277 (2022) - [i155]Aochuan Chen, Peter Lorenz, Yuguang Yao, Pin-Yu Chen, Sijia Liu:
Visual Prompting for Adversarial Robustness. CoRR abs/2210.06284 (2022) - [i154]Igor Melnyk, Vijil Chenthamarakshan, Pin-Yu Chen, Payel Das, Amit Dhurandhar, Inkit Padhi, Devleena Das:
Reprogramming Large Pretrained Language Models for Antibody Sequence Infilling. CoRR abs/2210.07144 (2022) - [i153]Kaiyuan Zhang, Guanhong Tao, Qiuling Xu, Siyuan Cheng, Shengwei An, Yingqi Liu, Shiwei Feng, Guangyu Shen, Pin-Yu Chen, Shiqing Ma, Xiangyu Zhang:
FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning. CoRR abs/2210.12873 (2022) - [i152]Elvin Lo, Pin-Yu Chen:
An Empirical Evaluation of Zeroth-Order Optimization Methods on AI-driven Molecule Optimization. CoRR abs/2210.16099 (2022) - [i151]Jhih-Cing Huang, Yu-Lin Tsai, Chao-Han Huck Yang, Cheng-Fang Su, Chia-Mu Yu, Pin-Yu Chen, Sy-Yen Kuo:
Certified Robustness of Quantum Classifiers against Adversarial Examples through Quantum Noise. CoRR abs/2211.00887 (2022) - [i150]Tsun-An Hsieh, Chao-Han Huck Yang, Pin-Yu Chen, Sabato Marco Siniscalchi, Yu Tsao:
Inference and Denoise: Causal Inference-based Neural Speech Enhancement. CoRR abs/2211.01189 (2022) - [i149]Yun-Ning Hung, Chao-Han Huck Yang, Pin-Yu Chen, Alexander Lerch:
Low-Resource Music Genre Classification with Advanced Neural Model Reprogramming. CoRR abs/2211.01317 (2022) - [i148]Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zhang, Sijia Liu:
Understanding and Improving Visual Prompting: A Label-Mapping Perspective. CoRR abs/2211.11635 (2022) - [i147]Lei Hsiung, Yung-Chen Tang, Pin-Yu Chen, Tsung-Yi Ho:
NCTV: Neural Clamping Toolkit and Visualization for Neural Network Calibration. CoRR abs/2211.16274 (2022) - [i146]Jiajin Zhang, Hanqing Chao, Amit Dhurandhar, Pin-Yu Chen, Ali Tajer, Yangyang Xu, Pingkun Yan:
When Neural Networks Fail to Generalize? A Model Sensitivity Perspective. CoRR abs/2212.00850 (2022) - [i145]Sheng-Yen Chou, Pin-Yu Chen, Tsung-Yi Ho:
How to Backdoor Diffusion Models? CoRR abs/2212.05400 (2022) - [i144]Ming-Chang Chiu, Pin-Yu Chen, Xuezhe Ma:
Better May Not Be Fairer: Can Data Augmentation Mitigate Subgroup Degradation? CoRR abs/2212.08649 (2022) - [i143]Ming-Chang Chiu, Yingfei Wang, Derrick Eui Gyu Kim, Pin-Yu Chen, Xuezhe Ma:
On Human Visual Contrast Sensitivity and Machine Vision Robustness: A Comparative Study. CoRR abs/2212.08650 (2022) - [i142]Zichong Li, Pin-Yu Chen, Sijia Liu, Songtao Lu, Yangyang Xu:
Stochastic Inexact Augmented Lagrangian Method for Nonconvex Expectation Constrained Optimization. CoRR abs/2212.09513 (2022) - 2021
- [j34]Bhavya Kailkhura, Pin-Yu Chen, Xue Lin, Bo Li:
Editorial: Safe and Trustworthy Machine Learning. Frontiers Big Data 4: 731605 (2021) - [j33]Shuai Zhang, Meng Wang, Jinjun Xiong, Sijia Liu, Pin-Yu Chen:
Improved Linear Convergence of Training CNNs With Generalizability Guarantees: A One-Hidden-Layer Case. IEEE Trans. Neural Networks Learn. Syst. 32(6): 2622-2635 (2021) - [c119]Akhilan Boopathy, Lily Weng, Sijia Liu, Pin-Yu Chen, Gaoyuan Zhang, Luca Daniel:
Fast Training of Provably Robust Neural Networks by SingleProp. AAAI 2021: 6803-6811 - [c118]Minhao Cheng, Pin-Yu Chen, Sijia Liu, Shiyu Chang, Cho-Jui Hsieh, Payel Das:
Self-Progressing Robust Training. AAAI 2021: 7107-7115 - [c117]Syed Zawad, Ahsan Ali, Pin-Yu Chen, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Yuan Tian, Feng Yan:
Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning. AAAI 2021: 10807-10814 - [c116]Maurício Gruppi, Pin-Yu Chen, Sibel Adali:
Fake it Till You Make it: Self-Supervised Semantic Shifts for Monolingual Word Embedding Tasks. AAAI 2021: 12893-12901 - [c115]Zichong Li, Pin-Yu Chen, Sijia Liu, Songtao Lu, Yangyang Xu:
Rate-improved inexact augmented Lagrangian method for constrained nonconvex optimization. AISTATS 2021: 2170-2178 - [c114]Jeet Mohapatra, Ching-Yun Ko, Lily Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel:
Hidden Cost of Randomized Smoothing. AISTATS 2021: 4033-4041 - [c113]Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang:
AI Explainability 360 Toolkit. COMAD/CODS 2021: 376-379 - [c112]Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Jihun Hamm:
How Robust Are Randomized Smoothing Based Defenses to Data Poisoning? CVPR 2021: 13244-13253 - [c111]Omid Aramoon, Pin-Yu Chen, Gang Qu:
AID: Attesting the Integrity of Deep Neural Networks. DAC 2021: 19-24 - [c110]Chun-Chih Teng, Pin-Yu Chen, Wei-Chen Chiu:
Domain Adaptation for Learning Generator From Paired Few-Shot Data. ICASSP 2021: 1750-1754 - [c109]Yu-Lin Tsai, Chia-Yi Hsu, Chia-Mu Yu, Pin-Yu Chen:
Non-Singular Adversarial Robustness of Neural Networks. ICASSP 2021: 3840-3844 - [c108]Arpan Mukherjee, Ali Tajer, Pin-Yu Chen, Payel Das:
Active Estimation From Multimodal Data. ICASSP 2021: 5180-5184 - [c107]Chao-Han Huck Yang, Jun Qi, Samuel Yen-Chi Chen, Pin-Yu Chen, Sabato Marco Siniscalchi, Xiaoli Ma, Chin-Hui Lee:
Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition. ICASSP 2021: 6523-6527 - [c106]Ren Wang, Kaidi Xu, Sijia Liu, Pin-Yu Chen, Tsui-Wei Weng, Chuang Gan, Meng Wang:
On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning. ICLR 2021 - [c105]Yue Cao, Payel Das, Vijil Chenthamarakshan, Pin-Yu Chen, Igor Melnyk, Yang Shen:
Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design. ICML 2021: 1261-1271 - [c104]Chulin Xie, Minghao Chen, Pin-Yu Chen, Bo Li:
CRFL: Certifiably Robust Federated Learning against Backdoor Attacks. ICML 2021: 11372-11382 - [c103]Chao-Han Huck Yang, Yun-Yun Tsai, Pin-Yu Chen:
Voice2Series: Reprogramming Acoustic Models for Time Series Classification. ICML 2021: 11808-11819 - [c102]Siyue Wang, Xiao Wang, Pin-Yu Chen, Pu Zhao, Xue Lin:
Characteristic Examples: High-Robustness, Low-Transferability Fingerprinting of Neural Networks. IJCAI 2021: 575-582 - [c101]Pin-Yu Chen, Yu-Hsiu Chen, Hong-Han Shuai, Yung-Ju Chang:
Self-Attentive Recommendation for Multi-Source Review Package. IJCNN 2021: 1-8 - [c100]Arpan Mukherjee, Ali Tajer, Pin-Yu Chen, Payel Das:
Active Binary Classification of Random Fields. ISIT 2021: 3326-3331 - [c99]Ronny Luss, Pin-Yu Chen, Amit Dhurandhar, Prasanna Sattigeri, Yunfeng Zhang, Karthikeyan Shanmugam, Chun-Chen Tu:
Leveraging Latent Features for Local Explanations. KDD 2021: 1139-1149 - [c98]Pin-Yu Chen, Cho-Jui Hsieh, Bo Li, Sijia Liu:
Third Workshop on Adversarial Learning Methods for Machine Learning and Data Mining (AdvML 2021). KDD 2021: 4112-4113 - [c97]Omid Aramoon, Pin-Yu Chen, Gang Qu:
Don't Forget to Sign the Gradients! MLSys 2021 - [c96]Maurício Gruppi, Sibel Adali, Pin-Yu Chen:
The SenSE Toolkit: A System for Visualization and Explanation of Semantic Shift. NeurIPS (Competition and Demos) 2021: 283-287 - [c95]Xiao Jin, Pin-Yu Chen, Chia-Yi Hsu, Chia-Mu Yu, Tianyi Chen:
Catastrophic Data Leakage in Vertical Federated Learning. NeurIPS 2021: 994-1006 - [c94]Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong:
Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Sparse Neural Networks. NeurIPS 2021: 2707-2720 - [c93]Arpan Mukherjee, Ali Tajer, Pin-Yu Chen, Payel Das:
Best Arm Identification in Contaminated Stochastic Bandits. NeurIPS 2021: 9651-9662 - [c92]Jingkang Wang, Tianyun Zhang, Sijia Liu, Pin-Yu Chen, Jiacen Xu, Makan Fardad, Bo Li:
Adversarial Attack Generation Empowered by Min-Max Optimization. NeurIPS 2021: 16020-16033 - [c91]Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Jihun Hamm:
Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning. NeurIPS 2021: 17347-17359 - [c90]Yu-Lin Tsai, Chia-Yi Hsu, Chia-Mu Yu, Pin-Yu Chen:
Formalizing Generalization and Adversarial Robustness of Neural Networks to Weight Perturbations. NeurIPS 2021: 19692-19704 - [c89]Yair Schiff, Brian Quanz, Payel Das, Pin-Yu Chen:
Predicting Deep Neural Network Generalization with Perturbation Response Curves. NeurIPS 2021: 21176-21188 - [c88]Lijie Fan, Sijia Liu, Pin-Yu Chen, Gaoyuan Zhang, Chuang Gan:
When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning? NeurIPS 2021: 21480-21492 - [i141]Rulin Shao, Zhouxing Shi, Jinfeng Yi, Pin-Yu Chen, Cho-Jui Hsieh:
Robust Text CAPTCHAs Using Adversarial Examples. CoRR abs/2101.02483 (2021) - [i140]Yiqin Yu, Pin-Yu Chen, Yuan Zhou, Jing Mei:
Adversarial Sample Enhanced Domain Adaptation: A Case Study on Predictive Modeling with Electronic Health Records. CoRR abs/2101.04853 (2021) - [i139]Maurício Gruppi, Sibel Adali, Pin-Yu Chen:
Fake it Till You Make it: Self-Supervised Semantic Shifts for Monolingual Word Embedding Tasks. CoRR abs/2102.00290 (2021) - [i138]Syed Zawad, Ahsan Ali, Pin-Yu Chen, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Yuan Tian, Feng Yan:
Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning. CoRR abs/2102.00655 (2021) - [i137]Akhilan Boopathy, Tsui-Wei Weng, Sijia Liu, Pin-Yu Chen, Gaoyuan Zhang, Luca Daniel:
Fast Training of Provably Robust Neural Networks by SingleProp. CoRR abs/2102.01208 (2021) - [i136]Omid Aramoon, Pin-Yu Chen, Gang Qu, Yuan Tian:
Meta Federated Learning. CoRR abs/2102.05561 (2021) - [i135]Chao-Han Huck Yang, I-Te Danny Hung, Yi Ouyang, Pin-Yu Chen:
Causal Inference Q-Network: Toward Resilient Reinforcement Learning. CoRR abs/2102.09677 (2021) - [i134]Ren Wang, Kaidi Xu, Sijia Liu, Pin-Yu Chen, Tsui-Wei Weng, Chuang Gan, Meng Wang:
On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning. CoRR abs/2102.10454 (2021) - [i133]Yu-Lin Tsai, Chia-Yi Hsu, Chia-Mu Yu, Pin-Yu Chen:
Non-Singular Adversarial Robustness of Neural Networks. CoRR abs/2102.11935 (2021) - [i132]Chun-Chih Teng, Pin-Yu Chen, Wei-Chen Chiu:
Domain Adaptation for Learning Generator from Paired Few-Shot Data. CoRR abs/2102.12765 (2021) - [i131]Chia-Yi Hsu, Pin-Yu Chen, Songtao Lu, Sijia Lu, Chia-Mu Yu:
Adversarial Examples for Unsupervised Machine Learning Models. CoRR abs/2103.01895 (2021) - [i130]Yu-Lin Tsai, Chia-Yi Hsu, Chia-Mu Yu, Pin-Yu Chen:
Formalizing Generalization and Robustness of Neural Networks to Weight Perturbations. CoRR abs/2103.02200 (2021) - [i129]Washington Garcia, Pin-Yu Chen, Somesh Jha, Scott Clouse, Kevin R. B. Butler:
Hard-label Manifolds: Unexpected Advantages of Query Efficiency for Finding On-manifold Adversarial Examples. CoRR abs/2103.03325 (2021) - [i128]Omid Aramoon, Pin-Yu Chen, Gang Qu:
Don't Forget to Sign the Gradients! CoRR abs/2103.03701 (2021) - [i127]Rulin Shao, Zhouxing Shi, Jinfeng Yi, Pin-Yu Chen, Cho-Jui Hsieh:
On the Adversarial Robustness of Visual Transformers. CoRR abs/2103.15670 (2021) - [i126]Celia Cintas, Payel Das, Brian Quanz, Skyler Speakman, Victor Akinwande, Pin-Yu Chen:
Towards creativity characterization of generative models via group-based subset scanning. CoRR abs/2104.00479 (2021) - [i125]Yair Schiff, Brian Quanz, Payel Das, Pin-Yu Chen:
Gi and Pal Scores: Deep Neural Network Generalization Statistics. CoRR abs/2104.03469 (2021) - [i124]Chia-Yu Chen, Jiamin Ni, Songtao Lu, Xiaodong Cui, Pin-Yu Chen, Xiao Sun, Naigang Wang, Swagath Venkataramani, Vijayalakshmi Srinivasan, Wei Zhang, Kailash Gopalakrishnan:
ScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training. CoRR abs/2104.11125 (2021) - [i123]Siyue Wang, Xiao Wang, Pin-Yu Chen, Pu Zhao, Xue Lin:
High-Robustness, Low-Transferability Fingerprinting of Neural Networks. CoRR abs/2105.07078 (2021) - [i122]Sayak Paul, Pin-Yu Chen:
Vision Transformers are Robust Learners. CoRR abs/2105.07581 (2021) - [i121]Jaydeep Borkar, Pin-Yu Chen:
Simple Transparent Adversarial Examples. CoRR abs/2105.09685 (2021) - [i120]Yair Schiff, Brian Quanz, Payel Das, Pin-Yu Chen:
Predicting Deep Neural Network Generalization with Perturbation Response Curves. CoRR abs/2106.04765 (2021) - [i119]Chulin Xie, Minghao Chen, Pin-Yu Chen, Bo Li:
CRFL: Certifiably Robust Federated Learning against Backdoor Attacks. CoRR abs/2106.08283 (2021) - [i118]Chao-Han Huck Yang, Yun-Yun Tsai, Pin-Yu Chen:
Voice2Series: Reprogramming Acoustic Models for Time Series Classification. CoRR abs/2106.09296 (2021) - [i117]Yue Cao, Payel Das, Vijil Chenthamarakshan, Pin-Yu Chen, Igor Melnyk, Yang Shen:
Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design. CoRR abs/2106.13058 (2021) - [i116]Chia-Hsiang Kao, Wei-Chen Chiu, Pin-Yu Chen:
MAML is a Noisy Contrastive Learner. CoRR abs/2106.15367 (2021) - [i115]Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Jihun Hamm:
Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning. CoRR abs/2107.03919 (2021) - [i114]Chang-Sheng Lin, Chia-Yi Hsu, Pin-Yu Chen, Chia-Mu Yu:
Real-World Adversarial Examples involving Makeup Application. CoRR abs/2109.03329 (2021) - [i113]Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang:
AI Explainability 360: Impact and Design. CoRR abs/2109.12151 (2021) - [i112]Jun Qi, Chao-Han Huck Yang, Pin-Yu Chen:
QTN-VQC: An End-to-End Learning framework for Quantum Neural Networks. CoRR abs/2110.03861 (2021) - [i111]Hao Yen, Pin-Jui Ku, Chao-Han Huck Yang, Hu Hu, Sabato Marco Siniscalchi, Pin-Yu Chen, Yu Tsao:
A Study of Low-Resource Speech Commands Recognition based on Adversarial Reprogramming. CoRR abs/2110.03894 (2021) - [i110]Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong:
Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Pruned Neural Networks. CoRR abs/2110.05667 (2021) - [i109]Yunchuan Liu, Lei Yang, Amir Ghasemkhani, Hanif Livani, Virgilio A. Centeno, Pin-Yu Chen, Junshan Zhang:
Robust Event Classification Using Imperfect Real-world PMU Data. CoRR abs/2110.10128 (2021) - [i108]Rulin Shao, Jinfeng Yi, Pin-Yu Chen, Cho-Jui Hsieh:
How and When Adversarial Robustness Transfers in Knowledge Distillation? CoRR abs/2110.12072 (2021) - [i107]Xiao Jin, Pin-Yu Chen, Chia-Yi Hsu, Chia-Mu Yu, Tianyi Chen:
CAFE: Catastrophic Data Leakage in Vertical Federated Learning. CoRR abs/2110.15122 (2021) - [i106]Lijie Fan, Sijia Liu, Pin-Yu Chen, Gaoyuan Zhang, Chuang Gan:
When Does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning? CoRR abs/2111.01124 (2021) - [i105]Arpan Mukherjee, Ali Tajer, Pin-Yu Chen, Payel Das:
Mean-based Best Arm Identification in Stochastic Bandits under Reward Contamination. CoRR abs/2111.07458 (2021) - [i104]Chia-Hung Yuan, Pin-Yu Chen, Chia-Mu Yu:
Meta Adversarial Perturbations. CoRR abs/2111.10291 (2021) - [i103]Yu Hsuan Li, Tzu-Yin Chao, Ching-Chun Huang, Pin-Yu Chen, Wei-Chen Chiu:
Make an Omelette with Breaking Eggs: Zero-Shot Learning for Novel Attribute Synthesis. CoRR abs/2111.14182 (2021) - [i102]Chao-Han Huck Yang, Zhengling Qi, Yifan Cui, Pin-Yu Chen:
Pessimistic Model Selection for Offline Deep Reinforcement Learning. CoRR abs/2111.14346 (2021) - [i101]Jiachen Sun, Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Dan Hendrycks, Jihun Hamm, Z. Morley Mao:
Certified Adversarial Defenses Meet Out-of-Distribution Corruptions: Benchmarking Robustness and Simple Baselines. CoRR abs/2112.00659 (2021) - [i100]Ching-Yun Ko, Jeet Mohapatra, Sijia Liu, Pin-Yu Chen, Luca Daniel, Lily Weng:
Revisiting Contrastive Learning through the Lens of Neighborhood Component Analysis: an Integrated Framework. CoRR abs/2112.04468 (2021) - [i99]Zhenhan Huang, Chunheng Jiang, Pin-Yu Chen, Jianxi Gao:
Network Graph Based Neural Architecture Search. CoRR abs/2112.07805 (2021) - 2020
- [j32]Samuel Yen-Chi Chen, Chao-Han Huck Yang, Jun Qi, Pin-Yu Chen, Xiaoli Ma, Hsi-Sheng Goan:
Variational Quantum Circuits for Deep Reinforcement Learning. IEEE Access 8: 141007-141024 (2020) - [j31]Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang:
AI Explainability 360: An Extensible Toolkit for Understanding Data and Machine Learning Models. J. Mach. Learn. Res. 21: 130:1-130:6 (2020) - [j30]Pin-Yu Chen, Chang-Le Chen, Yung-Chin Hsu, Cam-CAN Group, Wen-Yih Isaac Tseng:
Fluid intelligence is associated with cortical volume and white matter tract integrity within multiple-demand system across adult lifespan. NeuroImage 212: 116576 (2020) - [j29]Sijia Liu, Pin-Yu Chen, Bhavya Kailkhura, Gaoyuan Zhang, Alfred O. Hero III, Pramod K. Varshney:
A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning: Principals, Recent Advances, and Applications. IEEE Signal Process. Mag. 37(5): 43-54 (2020) - [c87]Yunan Ye, Hengzhi Pei, Boxin Wang, Pin-Yu Chen, Yada Zhu, Ju Xiao, Bo Li:
Reinforcement-Learning Based Portfolio Management with Augmented Asset Movement Prediction States. AAAI 2020: 1112-1119 - [c86]Minhao Cheng, Jinfeng Yi, Pin-Yu Chen, Huan Zhang, Cho-Jui Hsieh:
Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial Examples. AAAI 2020: 3601-3608 - [c85]Tsui-Wei Weng, Pu Zhao, Sijia Liu, Pin-Yu Chen, Xue Lin, Luca Daniel:
Towards Certificated Model Robustness Against Weight Perturbations. AAAI 2020: 6356-6363 - [c84]Pu Zhao, Pin-Yu Chen, Siyue Wang, Xue Lin:
Towards Query-Efficient Black-Box Adversary with Zeroth-Order Natural Gradient Descent. AAAI 2020: 6909-6916 - [c83]Yu-Hsiu Chen, Pin-Yu Chen, Hong-Han Shuai, Wen-Chih Peng:
TemPEST: Soft Template-Based Personalized EDM Subject Generation through Collaborative Summarization. AAAI 2020: 7538-7545 - [c82]Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong:
Guaranteed Convergence of Training Convolutional Neural Networks via Accelerated Gradient Descent. CISS 2020: 1-6 - [c81]Jeet Mohapatra, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel:
Towards Verifying Robustness of Neural Networks Against A Family of Semantic Perturbations. CVPR 2020: 241-249 - [c80]Ren Wang, Gaoyuan Zhang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong, Meng Wang:
Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases. ECCV (23) 2020: 222-238 - [c79]Kaidi Xu, Gaoyuan Zhang, Sijia Liu, Quanfu Fan, Mengshu Sun, Hongge Chen, Pin-Yu Chen, Yanzhi Wang, Xue Lin:
Adversarial T-Shirt! Evading Person Detectors in a Physical World. ECCV (5) 2020: 665-681 - [c78]Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang:
AI explainability 360: hands-on tutorial. FAT* 2020: 696 - [c77]Xiao Wang, Siyue Wang, Pin-Yu Chen, Xue Lin, Peter Chin:
AdvMS: A Multi-Source Multi-Cost Defense Against Adversarial Attacks. ICASSP 2020: 2902-2906 - [c76]Chao-Han Huck Yang, Jun Qi, Pin-Yu Chen, Xiaoli Ma, Chin-Hui Lee:
Characterizing Speech Adversarial Examples Using Self-Attention U-Net Enhancement. ICASSP 2020: 3107-3111 - [c75]Chao-Han Huck Yang, Jun Qi, Pin-Yu Chen, Yi Ouyang, I-Te Danny Hung, Chin-Hui Lee, Xiaoli Ma:
Enhanced Adversarial Strategically-Timed Attacks Against Deep Reinforcement Learning. ICASSP 2020: 3407-3411 - [c74]Kaidi Xu, Sijia Liu, Pin-Yu Chen, Mengshu Sun, Caiwen Ding, Bhavya Kailkhura, Xue Lin:
Towards an Efficient and General Framework of Robust Training for Graph Neural Networks. ICASSP 2020: 8479-8483 - [c73]Minhao Cheng, Simranjit Singh, Patrick H. Chen, Pin-Yu Chen, Sijia Liu, Cho-Jui Hsieh:
Sign-OPT: A Query-Efficient Hard-label Adversarial Attack. ICLR 2020 - [c72]Chulin Xie, Keli Huang, Pin-Yu Chen, Bo Li:
DBA: Distributed Backdoor Attacks against Federated Learning. ICLR 2020 - [c71]Pu Zhao, Pin-Yu Chen, Payel Das, Karthikeyan Natesan Ramamurthy, Xue Lin:
Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness. ICLR 2020 - [c70]Akhilan Boopathy, Sijia Liu, Gaoyuan Zhang, Cynthia Liu, Pin-Yu Chen, Shiyu Chang, Luca Daniel:
Proper Network Interpretability Helps Adversarial Robustness in Classification. ICML 2020: 1014-1023 - [c69]Sanghamitra Dutta, Dennis Wei, Hazar Yueksel, Pin-Yu Chen, Sijia Liu, Kush R. Varshney:
Is There a Trade-Off Between Fairness and Accuracy? A Perspective Using Mismatched Hypothesis Testing. ICML 2020: 2803-2813 - [c68]Yun-Yun Tsai, Pin-Yu Chen, Tsung-Yi Ho:
Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources. ICML 2020: 9614-9624 - [c67]Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong:
Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-hidden-layer Case. ICML 2020: 11268-11277 - [c66]Payel Das, Brian Quanz, Pin-Yu Chen, Jae-wook Ahn, Dhruv Shah:
Toward a neuro-inspired creative decoder. IJCAI 2020: 2746-2753 - [c65]Chia-Yu Chen, Jiamin Ni, Songtao Lu, Xiaodong Cui, Pin-Yu Chen, Xiao Sun, Naigang Wang, Swagath Venkataramani, Vijayalakshmi Srinivasan, Wei Zhang, Kailash Gopalakrishnan:
ScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training. NeurIPS 2020 - [c64]Jeet Mohapatra, Ching-Yun Ko, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel:
Higher-Order Certification For Randomized Smoothing. NeurIPS 2020 - [c63]N. Joseph Tatro, Pin-Yu Chen, Payel Das, Igor Melnyk, Prasanna Sattigeri, Rongjie Lai:
Optimizing Mode Connectivity via Neuron Alignment. NeurIPS 2020 - [c62]Maurício Gruppi, Sibel Adali, Pin-Yu Chen:
SChME at SemEval-2020 Task 1: A Model Ensemble for Detecting Lexical Semantic Change. SemEval@COLING 2020: 105-111 - [i98]Yunan Ye, Hengzhi Pei, Boxin Wang, Pin-Yu Chen, Yada Zhu, Jun Xiao, Bo Li:
Reinforcement-Learning based Portfolio Management with Augmented Asset Movement Prediction States. CoRR abs/2002.05780 (2020) - [i97]Minhao Cheng, Qi Lei, Pin-Yu Chen, Inderjit S. Dhillon, Cho-Jui Hsieh:
CAT: Customized Adversarial Training for Improved Robustness. CoRR abs/2002.06789 (2020) - [i96]Pu Zhao, Pin-Yu Chen, Siyue Wang, Xue Lin:
Towards Query-Efficient Black-Box Adversary with Zeroth-Order Natural Gradient Descent. CoRR abs/2002.07891 (2020) - [i95]Xiao Wang, Siyue Wang, Pin-Yu Chen, Xue Lin, Peter Chin:
Block Switching: A Stochastic Approach for Deep Learning Security. CoRR abs/2002.07920 (2020) - [i94]Xiao Wang, Siyue Wang, Pin-Yu Chen, Xue Lin, Peter Chin:
AdvMS: A Multi-source Multi-cost Defense Against Adversarial Attacks. CoRR abs/2002.08439 (2020) - [i93]Chao-Han Huck Yang, Jun Qi, Pin-Yu Chen, Yi Ouyang, I-Te Danny Hung, Chin-Hui Lee, Xiaoli Ma:
Enhanced Adversarial Strategically-Timed Attacks against Deep Reinforcement Learning. CoRR abs/2002.09027 (2020) - [i92]Kaidi Xu, Sijia Liu, Pin-Yu Chen, Mengshu Sun, Caiwen Ding, Bhavya Kailkhura, Xue Lin:
Towards an Efficient and General Framework of Robust Training for Graph Neural Networks. CoRR abs/2002.10947 (2020) - [i91]Hao Cheng, Kaidi Xu, Sijia Liu, Pin-Yu Chen, Pu Zhao, Xue Lin:
Defending against Backdoor Attack on Deep Neural Networks. CoRR abs/2002.12162 (2020) - [i90]Jeet Mohapatra, Ching-Yun Ko, Tsui-Wei Weng, Sijia Liu, Pin-Yu Chen, Luca Daniel:
Rethinking Randomized Smoothing for Adversarial Robustness. CoRR abs/2003.01249 (2020) - [i89]Chao-Han Huck Yang, Jun Qi, Pin-Yu Chen, Xiaoli Ma, Chin-Hui Lee:
Characterizing Speech Adversarial Examples Using Self-Attention U-Net Enhancement. CoRR abs/2003.13917 (2020) - [i88]Pu Zhao, Pin-Yu Chen, Payel Das, Karthikeyan Natesan Ramamurthy, Xue Lin:
Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness. CoRR abs/2005.00060 (2020) - [i87]Payel Das, Tom Sercu, Kahini Wadhawan, Inkit Padhi, Sebastian Gehrmann, Flaviu S. Cipcigan, Vijil Chenthamarakshan, Hendrik Strobelt, Cícero Nogueira dos Santos, Pin-Yu Chen, Yi Yan Yang, Jeremy Tan, James Hedrick, Jason Crain, Aleksandra Mojsilovic:
Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molecular Dynamics. CoRR abs/2005.11248 (2020) - [i86]Sijia Liu, Pin-Yu Chen, Bhavya Kailkhura, Gaoyuan Zhang, Alfred O. Hero III, Pramod K. Varshney:
A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning. CoRR abs/2006.06224 (2020) - [i85]Orlando Romero, Subhro Das, Pin-Yu Chen, Sérgio Pequito:
A Dynamical Systems Approach for Convergence of the Bayesian EM Algorithm. CoRR abs/2006.12690 (2020) - [i84]Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong:
Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-hidden-layer Case. CoRR abs/2006.14117 (2020) - [i83]Akhilan Boopathy, Sijia Liu, Gaoyuan Zhang, Cynthia Liu, Pin-Yu Chen, Shiyu Chang, Luca Daniel:
Proper Network Interpretability Helps Adversarial Robustness in Classification. CoRR abs/2006.14748 (2020) - [i82]Yun-Yun Tsai, Pin-Yu Chen, Tsung-Yi Ho:
Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources. CoRR abs/2007.08714 (2020) - [i81]Ren Wang, Gaoyuan Zhang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong, Meng Wang:
Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases. CoRR abs/2007.15802 (2020) - [i80]N. Joseph Tatro, Pin-Yu Chen, Payel Das, Igor Melnyk, Prasanna Sattigeri, Rongjie Lai:
Optimizing Mode Connectivity via Neuron Alignment. CoRR abs/2009.02439 (2020) - [i79]Jeet Mohapatra, Ching-Yun Ko, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel:
Higher-Order Certification for Randomized Smoothing. CoRR abs/2010.06651 (2020) - [i78]Chao-Han Huck Yang, Jun Qi, Samuel Yen-Chi Chen, Pin-Yu Chen, Sabato Marco Siniscalchi, Xiaoli Ma, Chin-Hui Lee:
Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition. CoRR abs/2010.13309 (2020) - [i77]Samuel C. Hoffman, Vijil Chenthamarakshan, Kahini Wadhawan, Pin-Yu Chen, Payel Das:
Optimizing Molecules using Efficient Queries from Property Evaluations. CoRR abs/2011.01921 (2020) - [i76]Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Jihun Hamm:
How Robust are Randomized Smoothing based Defenses to Data Poisoning? CoRR abs/2012.01274 (2020) - [i75]Maurício Gruppi, Sibel Adali, Pin-Yu Chen:
SChME at SemEval-2020 Task 1: A Model Ensemble for Detecting Lexical Semantic Change. CoRR abs/2012.01603 (2020) - [i74]Ria Vinod, Pin-Yu Chen, Payel Das:
Reprogramming Language Models for Molecular Representation Learning. CoRR abs/2012.03460 (2020) - [i73]Pranay Sharma, Kaidi Xu, Sijia Liu, Pin-Yu Chen, Xue Lin, Pramod K. Varshney:
Zeroth-Order Hybrid Gradient Descent: Towards A Principled Black-Box Optimization Framework. CoRR abs/2012.11518 (2020) - [i72]Minhao Cheng, Pin-Yu Chen, Sijia Liu, Shiyu Chang, Cho-Jui Hsieh, Payel Das:
Self-Progressing Robust Training. CoRR abs/2012.11769 (2020)
2010 – 2019
- 2019
- [j28]Weiyi Liu, Pin-Yu Chen, Fucai Yu, Toyotaro Suzumura, Guangmin Hu:
Learning Graph Topological Features via GAN. IEEE Access 7: 21834-21843 (2019) - [j27]Chun-Chen Tu, Pin-Yu Chen, Naisyin Wang:
Improving Prediction Efficacy Through Abnormality Detection and Data Preprocessing. IEEE Access 7: 103794-103805 (2019) - [j26]Zhining Liu, Weiyi Liu, Pin-Yu Chen, Chenyi Zhuang, Chengyun Song:
hpGAT: High-Order Proximity Informed Graph Attention Network. IEEE Access 7: 123002-123012 (2019) - [j25]Weiyi Liu, Pin-Yu Chen, Fucai Yu, Toyotaro Suzumura, Guangmin Hu, Hal James Cooper, Min-hwan Oh, Sailung Yeung:
Corrections to "Learning Graph Topological Features via GAN". IEEE Access 7: 133600-133601 (2019) - [j24]Vachik S. Dave, Baichuan Zhang, Pin-Yu Chen, Mohammad Al Hasan:
Neural-Brane: Neural Bayesian Personalized Ranking for Attributed Network Embedding. Data Sci. Eng. 4(2): 119-131 (2019) - [j23]Weiyi Liu, Zhining Liu, Fucai Yu, Pin-Yu Chen, Toyotaro Suzumura, Guangmin Hu:
A scalable attribute-aware network embedding system. Neurocomputing 339: 279-291 (2019) - [j22]Kai Yang, Sijia Liu, Lin Cai, Yasin Yilmaz, Pin-Yu Chen, Anwar Walid:
Guest Editorial Special Issue on AI Enabled Cognitive Communication and Networking for IoT. IEEE Internet Things J. 6(2): 1906-1910 (2019) - [j21]Pin-Yu Chen, Chun-Chen Tu, Pai-Shun Ting, Ya-Yun Lo, Danai Koutra, Alfred O. Hero III:
Identifying Influential Links for Event Propagation on Twitter: A Network of Networks Approach. IEEE Trans. Signal Inf. Process. over Networks 5(1): 139-151 (2019) - [c61]Chun-Chen Tu, Pai-Shun Ting, Pin-Yu Chen, Sijia Liu, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh, Shin-Ming Cheng:
AutoZOOM: Autoencoder-Based Zeroth Order Optimization Method for Attacking Black-Box Neural Networks. AAAI 2019: 742-749 - [c60]Akhilan Boopathy, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel:
CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks. AAAI 2019: 3240-3247 - [c59]Vachik S. Dave, Baichuan Zhang, Pin-Yu Chen, Mohammad Al Hasan:
Neural-brane: an inductive approach for attributed network embedding. ASONAM 2019: 212-215 - [c58]Chia-Yi Hsu, Pin-Yu Chen, Chia-Mu Yu:
Characterizing Adversarial Subspaces by Mutual Information. AsiaCCS 2019: 667-669 - [c57]Pu Zhao, Sijia Liu, Pin-Yu Chen, Nghia Hoang, Kaidi Xu, Bhavya Kailkhura, Xue Lin:
On the Design of Black-Box Adversarial Examples by Leveraging Gradient-Free Optimization and Operator Splitting Method. ICCV 2019: 121-130 - [c56]Chao-Han Huck Yang, Yi-Chieh Liu, Pin-Yu Chen, Xiaoli Ma, Yi-Chang James Tsai:
When Causal Intervention Meets Adversarial Examples and Image Masking for Deep Neural Networks. ICIP 2019: 3811-3815 - [c55]Minhao Cheng, Thong Le, Pin-Yu Chen, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh:
Query-Efficient Hard-label Black-box Attack: An Optimization-based Approach. ICLR (Poster) 2019 - [c54]Sijia Liu, Pin-Yu Chen, Xiangyi Chen, Mingyi Hong:
signSGD via Zeroth-Order Oracle. ICLR (Poster) 2019 - [c53]Kaidi Xu, Sijia Liu, Pu Zhao, Pin-Yu Chen, Huan Zhang, Quanfu Fan, Deniz Erdogmus, Yanzhi Wang, Xue Lin:
Structured Adversarial Attack: Towards General Implementation and Better Interpretability. ICLR (Poster) 2019 - [c52]Zhuolin Yang, Bo Li, Pin-Yu Chen, Dawn Song:
Characterizing Audio Adversarial Examples Using Temporal Dependency. ICLR (Poster) 2019 - [c51]Pin-Yu Chen, Lingfei Wu, Sijia Liu, Indika Rajapakse:
Fast Incremental von Neumann Graph Entropy Computation: Theory, Algorithm, and Applications. ICML 2019: 1091-1101 - [c50]Lily Weng, Pin-Yu Chen, Lam M. Nguyen, Mark S. Squillante, Akhilan Boopathy, Ivan V. Oseledets, Luca Daniel:
PROVEN: Verifying Robustness of Neural Networks with a Probabilistic Approach. ICML 2019: 6727-6736 - [c49]Ya-Chuan Kao, Kai-Yi Chin, Ching-Sheng Wang, Pin-Yu Chen:
An Exploration on the Effect of Augmented Reality Learning System on Situational Interest in Historical Building Guide. IIAI-AAI 2019: 1067-1068 - [c48]Kaidi Xu, Hongge Chen, Sijia Liu, Pin-Yu Chen, Tsui-Wei Weng, Mingyi Hong, Xue Lin:
Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective. IJCAI 2019: 3961-3967 - [c47]Xiao Wang, Siyue Wang, Pin-Yu Chen, Yanzhi Wang, Brian Kulis, Xue Lin, Sang Chin:
Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses. IJCAI 2019: 6013-6019 - [c46]Pin-Yu Chen, Sijia Liu:
Recent Progress in Zeroth Order Optimization and Its Applications to Adversarial Robustness in Data Mining and Machine Learning. KDD 2019: 3233-3234 - [c45]Qi Lei, Lingfei Wu, Pin-Yu Chen, Alex Dimakis, Inderjit S. Dhillon, Michael Witbrock:
Discrete Adversarial Attacks and Submodular Optimization with Applications to Text Classification. SysML 2019 - [c44]Sheng-Chun Kao, Chao-Han Huck Yang, Pin-Yu Chen, Xiaoli Ma, Tushar Krishna:
Reinforcement learning based interconnection routing for adaptive traffic optimization. NOCS 2019: 17:1-17:2 - [i71]Payel Das, Brian Quanz, Pin-Yu Chen, Jae-wook Ahn:
Toward A Neuro-inspired Creative Decoder. CoRR abs/1902.02399 (2019) - [i70]Chao-Han Huck Yang, Yi-Chieh Liu, Pin-Yu Chen, Xiaoli Ma, Yi-Chang James Tsai:
When Causal Intervention Meets Image Masking and Adversarial Perturbation for Deep Neural Networks. CoRR abs/1902.03380 (2019) - [i69]Pin-Yu Chen, Sutanay Choudhury, Luke Rodriguez, Alfred O. Hero III, Indrajit Ray:
Enterprise Cyber Resiliency Against Lateral Movement: A Graph Theoretic Approach. CoRR abs/1905.01002 (2019) - [i68]Ronny Luss, Pin-Yu Chen, Amit Dhurandhar, Prasanna Sattigeri, Karthikeyan Shanmugam, Chun-Chen Tu:
Generating Contrastive Explanations with Monotonic Attribute Functions. CoRR abs/1905.12698 (2019) - [i67]Amit Dhurandhar, Tejaswini Pedapati, Avinash Balakrishnan, Pin-Yu Chen, Karthikeyan Shanmugam, Ruchir Puri:
Model Agnostic Contrastive Explanations for Structured Data. CoRR abs/1906.00117 (2019) - [i66]Jingkang Wang, Tianyun Zhang, Sijia Liu, Pin-Yu Chen, Jiacen Xu, Makan Fardad, Bo Li:
Beyond Adversarial Training: Min-Max Optimization in Adversarial Attack and Defense. CoRR abs/1906.03563 (2019) - [i65]Kaidi Xu, Hongge Chen, Sijia Liu, Pin-Yu Chen, Tsui-Wei Weng, Mingyi Hong, Xue Lin:
Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective. CoRR abs/1906.04214 (2019) - [i64]Pu Zhao, Sijia Liu, Pin-Yu Chen, Nghia Hoang, Kaidi Xu, Bhavya Kailkhura, Xue Lin:
On the Design of Black-box Adversarial Examples by Leveraging Gradient-free Optimization and Operator Splitting Method. CoRR abs/1907.11684 (2019) - [i63]Sheng-Chun Kao, Chao-Han Huck Yang, Pin-Yu Chen, Xiaoli Ma, Tushar Krishna:
Reinforcement Learning based Interconnection Routing for Adaptive Traffic Optimization. CoRR abs/1908.04484 (2019) - [i62]Xiao Wang, Siyue Wang, Pin-Yu Chen, Yanzhi Wang, Brian Kulis, Xue Lin, Peter Chin:
Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses. CoRR abs/1908.07116 (2019) - [i61]Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang:
One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques. CoRR abs/1909.03012 (2019) - [i60]Minhao Cheng, Simranjit Singh, Patrick H. Chen, Pin-Yu Chen, Sijia Liu, Cho-Jui Hsieh:
Sign-OPT: A Query-Efficient Hard-label Adversarial Attack. CoRR abs/1909.10773 (2019) - [i59]Sanghamitra Dutta, Dennis Wei, Hazar Yueksel, Pin-Yu Chen, Sijia Liu, Kush R. Varshney:
An Information-Theoretic Perspective on the Relationship Between Fairness and Accuracy. CoRR abs/1910.07870 (2019) - [i58]Kaidi Xu, Gaoyuan Zhang, Sijia Liu, Quanfu Fan, Mengshu Sun, Hongge Chen, Pin-Yu Chen, Yanzhi Wang, Xue Lin:
Evading Real-Time Person Detectors by Adversarial T-shirt. CoRR abs/1910.11099 (2019) - [i57]Jeet Mohapatra, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel:
Towards Verifying Robustness of Neural Networks Against Semantic Perturbations. CoRR abs/1912.09533 (2019) - 2018
- [j20]Pin-Yu Chen, Shin-Ming Cheng, Hui-Yu Hsu:
Analysis of Information Delivery Dynamics in Cognitive Sensor Networks Using Epidemic Models. IEEE Internet Things J. 5(4): 2333-2342 (2018) - [j19]Pin-Yu Chen, Shin-Ming Cheng, Meng-Hsuan Sung:
Analysis of Data Dissemination and Control in Social Internet of Vehicles. IEEE Internet Things J. 5(4): 2467-2477 (2018) - [j18]Pin-Yu Chen, Baichuan Zhang, Mohammad Al Hasan:
Incremental eigenpair computation for graph Laplacian matrices: theory and applications. Soc. Netw. Anal. Min. 8(1): 4:1-4:17 (2018) - [j17]Sijia Liu, Pin-Yu Chen, Alfred O. Hero III:
Accelerated Distributed Dual Averaging Over Evolving Networks of Growing Connectivity. IEEE Trans. Signal Process. 66(7): 1845-1859 (2018) - [j16]Pin-Yu Chen, Alfred O. Hero III:
Phase Transitions and a Model Order Selection Criterion for Spectral Graph Clustering. IEEE Trans. Signal Process. 66(13): 3407-3420 (2018) - [c43]Pin-Yu Chen, Yash Sharma, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh:
EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples. AAAI 2018: 10-17 - [c42]Hongge Chen, Huan Zhang, Pin-Yu Chen, Jinfeng Yi, Cho-Jui Hsieh:
Attacking Visual Language Grounding with Adversarial Examples: A Case Study on Neural Image Captioning. ACL (1) 2018: 2587-2597 - [c41]Sijia Liu, Jie Chen, Pin-Yu Chen, Alfred O. Hero III:
Zeroth-Order Online Alternating Direction Method of Multipliers: Convergence Analysis and Applications. AISTATS 2018: 288-297 - [c40]Pei-Hsuan Lu, Pin-Yu Chen, Kang-Cheng Chen, Chia-Mu Yu:
On the Limitation of MagNet Defense Against L1-Based Adversarial Examples. DSN Workshops 2018: 200-214 - [c39]Dong Su, Huan Zhang, Hongge Chen, Jinfeng Yi, Pin-Yu Chen, Yupeng Gao:
Is Robustness the Cost of Accuracy? - A Comprehensive Study on the Robustness of 18 Deep Image Classification Models. ECCV (12) 2018: 644-661 - [c38]Lingfei Wu, Ian En-Hsu Yen, Kun Xu, Fangli Xu, Avinash Balakrishnan, Pin-Yu Chen, Pradeep Ravikumar, Michael J. Witbrock:
Word Mover's Embedding: From Word2Vec to Document Embedding. EMNLP 2018: 4524-4534 - [c37]Chia-Yi Hsu, Pei-Hsuan Lu, Pin-Yu Chen, Chia-Mu Yu:
On the Utility of Conditional Generation Based Mutual Information for Characterizing Adversarial Subspaces. GlobalSIP 2018: 1149-1153 - [c36]Tsui-Wei Weng, Huan Zhang, Pin-Yu Chen, Aurélie C. Lozano, Cho-Jui Hsieh, Luca Daniel:
On Extensions of Clever: A Neural Network Robustness Evaluation Algorithm. GlobalSIP 2018: 1159-1163 - [c35]Pin-Yu Chen, Bhanukiran Vinzamuri, Sijia Liu:
Is Ordered Weighted ℓ1 Regularized Regression Robust to Adversarial Perturbation? A Case Study on OSCAR. GlobalSIP 2018: 1174-1178 - [c34]Sijia Liu, Xingguo Li, Pin-Yu Chen, Jarvis D. Haupt, Lisa Amini:
Zeroth-Order Stochastic Projected Gradient Descent for Nonconvex Optimization. GlobalSIP 2018: 1179-1183 - [c33]Pin-Yu Chen, Dennis Wei:
On the Supermodularity of Active Graph-Based Semi-Supervised Learning with Stieltjes Matrix Regularization. ICASSP 2018: 2801-2805 - [c32]Jie Chen, Sijia Liu, Pin-Yu Chen:
Zeroth-Order Diffusion Adaptation Over Networks. ICASSP 2018: 4324-4328 - [c31]Sijia Liu, Pin-Yu Chen, Indika Rajapakse, Alfred O. Hero III:
First-Order Bifurcation Detection for Dynamic Complex Networks. ICASSP 2018: 6912-6916 - [c30]Pei-Hsuan Lu, Pin-Yu Chen, Chia-Mu Yu:
On the Limitation of Local Intrinsic Dimensionality for Characterizing the Subspaces of Adversarial Examples. ICLR (Workshop) 2018 - [c29]Yash Sharma, Pin-Yu Chen:
Attacking the Madry Defense Model with $L_1$-based Adversarial Examples. ICLR (Workshop) 2018 - [c28]Tsui-Wei Weng, Huan Zhang, Pin-Yu Chen, Jinfeng Yi, Dong Su, Yupeng Gao, Cho-Jui Hsieh, Luca Daniel:
Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach. ICLR (Poster) 2018 - [c27]Lingfei Wu, Pin-Yu Chen, Ian En-Hsu Yen, Fangli Xu, Yinglong Xia, Charu C. Aggarwal:
Scalable Spectral Clustering Using Random Binning Features. KDD 2018: 2506-2515 - [c26]Amit Dhurandhar, Pin-Yu Chen, Ronny Luss, Chun-Chen Tu, Pai-Shun Ting, Karthikeyan Shanmugam, Payel Das:
Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives. NeurIPS 2018: 590-601 - [c25]Sijia Liu, Bhavya Kailkhura, Pin-Yu Chen, Pai-Shun Ting, Shiyu Chang, Lisa Amini:
Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization. NeurIPS 2018: 3731-3741 - [c24]Huan Zhang, Tsui-Wei Weng, Pin-Yu Chen, Cho-Jui Hsieh, Luca Daniel:
Efficient Neural Network Robustness Certification with General Activation Functions. NeurIPS 2018: 4944-4953 - [i56]Pin-Yu Chen, Baichuan Zhang, Mohammad Al Hasan:
Incremental Eigenpair Computation for Graph Laplacian Matrices: Theory and Applications. CoRR abs/1801.08196 (2018) - [i55]Tsui-Wei Weng, Huan Zhang, Pin-Yu Chen, Jinfeng Yi, Dong Su, Yupeng Gao, Cho-Jui Hsieh, Luca Daniel:
Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach. CoRR abs/1801.10578 (2018) - [i54]Amit Dhurandhar, Pin-Yu Chen, Ronny Luss, Chun-Chen Tu, Pai-Shun Ting, Karthikeyan Shanmugam, Payel Das:
Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives. CoRR abs/1802.07623 (2018) - [i53]Minhao Cheng, Jinfeng Yi, Huan Zhang, Pin-Yu Chen, Cho-Jui Hsieh:
Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial Examples. CoRR abs/1803.01128 (2018) - [i52]Pei-Hsuan Lu, Pin-Yu Chen, Chia-Mu Yu:
On the Limitation of Local Intrinsic Dimensionality for Characterizing the Subspaces of Adversarial Examples. CoRR abs/1803.09638 (2018) - [i51]Yash Sharma, Pin-Yu Chen:
Bypassing Feature Squeezing by Increasing Adversary Strength. CoRR abs/1803.09868 (2018) - [i50]Pin-Yu Chen, Dennis Wei:
On the Supermodularity of Active Graph-based Semi-supervised Learning with Stieltjes Matrix Regularization. CoRR abs/1804.03273 (2018) - [i49]Vachik S. Dave, Baichuan Zhang, Pin-Yu Chen, Mohammad Al Hasan:
Neural-Brane: Neural Bayesian Personalized Ranking for Attributed Network Embedding. CoRR abs/1804.08774 (2018) - [i48]Pei-Hsuan Lu, Pin-Yu Chen, Kang-Cheng Chen, Chia-Mu Yu:
On the Limitation of MagNet Defense against L1-based Adversarial Examples. CoRR abs/1805.00310 (2018) - [i47]Sijia Liu, Bhavya Kailkhura, Pin-Yu Chen, Pai-Shun Ting, Shiyu Chang, Lisa Amini:
Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization. CoRR abs/1805.10367 (2018) - [i46]Lingfei Wu, Pin-Yu Chen, Ian En-Hsu Yen, Fangli Xu, Yinglong Xia, Charu C. Aggarwal:
Scalable Spectral Clustering Using Random Binning Features. CoRR abs/1805.11048 (2018) - [i45]Pin-Yu Chen, Lingfei Wu, Sijia Liu, Indika Rajapakse:
Fast Incremental von Neumann Graph Entropy Computation: Theory, Algorithm, and Applications. CoRR abs/1805.11769 (2018) - [i44]Chun-Chen Tu, Pai-Shun Ting, Pin-Yu Chen, Sijia Liu, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh, Shin-Ming Cheng:
AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking Black-box Neural Networks. CoRR abs/1805.11770 (2018) - [i43]Minhao Cheng, Thong Le, Pin-Yu Chen, Jinfeng Yi, Huan Zhang, Cho-Jui Hsieh:
Query-Efficient Hard-label Black-box Attack: An Optimization-based Approach. CoRR abs/1807.04457 (2018) - [i42]Kaidi Xu, Sijia Liu, Pu Zhao, Pin-Yu Chen, Huan Zhang, Deniz Erdogmus, Yanzhi Wang, Xue Lin:
Structured Adversarial Attack: Towards General Implementation and Better Interpretability. CoRR abs/1808.01664 (2018) - [i41]Dong Su, Huan Zhang, Hongge Chen, Jinfeng Yi, Pin-Yu Chen, Yupeng Gao:
Is Robustness the Cost of Accuracy? - A Comprehensive Study on the Robustness of 18 Deep Image Classification Models. CoRR abs/1808.01688 (2018) - [i40]Pin-Yu Chen, Bhanukiran Vinzamuri, Sijia Liu:
Is Ordered Weighted ℓ1 Regularized Regression Robust to Adversarial Perturbation? A Case Study on OSCAR. CoRR abs/1809.08706 (2018) - [i39]Chia-Yi Hsu, Pei-Hsuan Lu, Pin-Yu Chen, Chia-Mu Yu:
On The Utility of Conditional Generation Based Mutual Information for Characterizing Adversarial Subspaces. CoRR abs/1809.08986 (2018) - [i38]Zhuolin Yang, Bo Li, Pin-Yu Chen, Dawn Song:
Characterizing Audio Adversarial Examples Using Temporal Dependency. CoRR abs/1809.10875 (2018) - [i37]Tsui-Wei Weng, Huan Zhang, Pin-Yu Chen, Aurélie C. Lozano, Cho-Jui Hsieh, Luca Daniel:
On Extensions of CLEVER: A Neural Network Robustness Evaluation Algorithm. CoRR abs/1810.08640 (2018) - [i36]Huan Zhang, Tsui-Wei Weng, Pin-Yu Chen, Cho-Jui Hsieh, Luca Daniel:
Efficient Neural Network Robustness Certification with General Activation Functions. CoRR abs/1811.00866 (2018) - [i35]Lingfei Wu, Ian En-Hsu Yen, Kun Xu, Fangli Xu, Avinash Balakrishnan, Pin-Yu Chen, Pradeep Ravikumar, Michael J. Witbrock:
Word Mover's Embedding: From Word2Vec to Document Embedding. CoRR abs/1811.01713 (2018) - [i34]Rise Ooi, Chao-Han Huck Yang, Pin-Yu Chen, Víctor M. Eguíluz, Narsis Aftab Kiani, Hector Zenil, David Gomez-Cabrero, Jesper Tegnér:
Controllability, Multiplexing, and Transfer Learning in Networks using Evolutionary Learning. CoRR abs/1811.05592 (2018) - [i33]Akhilan Boopathy, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel:
CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks. CoRR abs/1811.12395 (2018) - [i32]Qi Lei, Lingfei Wu, Pin-Yu Chen, Alexandros G. Dimakis, Inderjit S. Dhillon, Michael Witbrock:
Discrete Attacks and Submodular Optimization with Applications to Text Classification. CoRR abs/1812.00151 (2018) - [i31]Tsui-Wei Weng, Pin-Yu Chen, Lam M. Nguyen, Mark S. Squillante, Ivan V. Oseledets, Luca Daniel:
PROVEN: Certifying Robustness of Neural Networks with a Probabilistic Approach. CoRR abs/1812.08329 (2018) - 2017
- [j15]Shin-Ming Cheng, Pin-Yu Chen, Ching-Chao Lin, Hsu-Chun Hsiao:
Traffic-Aware Patching for Cyber Security in Mobile IoT. IEEE Commun. Mag. 55(7): 29-35 (2017) - [j14]Pin-Yu Chen, Sijia Liu:
Bias-Variance Tradeoff of Graph Laplacian Regularizer. IEEE Signal Process. Lett. 24(8): 1118-1122 (2017) - [j13]Pin-Yu Chen, Alfred O. Hero III:
Multilayer Spectral Graph Clustering via Convex Layer Aggregation: Theory and Algorithms. IEEE Trans. Signal Inf. Process. over Networks 3(3): 553-567 (2017) - [c23]Pai-Shun Ting, Chun-Chen Tu, Pin-Yu Chen, Ya-Yun Lo, Shin-Ming Cheng:
FEAST: An Automated Feature Selection Framework for Compilation Tasks. AINA 2017: 1138-1145 - [c22]Pin-Yu Chen, Huan Zhang, Yash Sharma, Jinfeng Yi, Cho-Jui Hsieh:
ZOO: Zeroth Order Optimization Based Black-box Attacks to Deep Neural Networks without Training Substitute Models. AISec@CCS 2017: 15-26 - [c21]Sijia Liu, Pin-Yu Chen, Alfred O. Hero III:
Distributed optimization for evolving networks of growing connectivity. ICASSP 2017: 4079-4083 - [c20]Pin-Yu Chen, Thibaut Gensollen, Alfred O. Hero III:
AMOS: An automated model order selection algorithm for spectral graph clustering. ICASSP 2017: 6448-6452 - [c19]Pin-Yu Chen, Lingfei Wu:
Revisiting Spectral Graph Clustering with Generative Community Models. ICDM 2017: 51-60 - [c18]Weiyi Liu, Pin-Yu Chen, Sailung Yeung, Toyotaro Suzumura, Lingli Chen:
Principled Multilayer Network Embedding. ICDM Workshops 2017: 134-141 - [i30]Shin-Ming Cheng, Pin-Yu Chen, Ching-Chao Lin, Hsu-Chun Hsiao:
Traffic-aware Patching for Cyber Security in Mobile IoT. CoRR abs/1703.05400 (2017) - [i29]Pin-Yu Chen, Sijia Liu:
Bias-Variance Tradeoff of Graph Laplacian Regularizer. CoRR abs/1706.00544 (2017) - [i28]Weiyi Liu, Pin-Yu Chen, Hal James Cooper, Min Hwan Oh, Sailung Yeung, Toyotaro Suzumura:
Can GAN Learn Topological Features of a Graph? CoRR abs/1707.06197 (2017) - [i27]Pin-Yu Chen, Alfred O. Hero III:
Multilayer Spectral Graph Clustering via Convex Layer Aggregation: Theory and Algorithms. CoRR abs/1708.02620 (2017) - [i26]Pin-Yu Chen, Huan Zhang, Yash Sharma, Jinfeng Yi, Cho-Jui Hsieh:
ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks without Training Substitute Models. CoRR abs/1708.03999 (2017) - [i25]Pin-Yu Chen, Shin-Ming Cheng, Hui-Yu Hsu:
Analysis of Information Delivery Dynamics in Cognitive Sensor Networks Using Epidemic Models. CoRR abs/1709.00526 (2017) - [i24]Weiyi Liu, Pin-Yu Chen, Sailung Yeung, Toyotaro Suzumura, Lingli Chen:
Principled Multilayer Network Embedding. CoRR abs/1709.03551 (2017) - [i23]Pin-Yu Chen, Yash Sharma, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh:
EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples. CoRR abs/1709.04114 (2017) - [i22]Pin-Yu Chen, Lingfei Wu:
Revisiting Spectral Graph Clustering with Generative Community Models. CoRR abs/1709.04594 (2017) - [i21]Sijia Liu, Jie Chen, Pin-Yu Chen, Alfred O. Hero III:
Zeroth-Order Online Alternating Direction Method of Multipliers: Convergence Analysis and Applications. CoRR abs/1710.07804 (2017) - [i20]Yash Sharma, Pin-Yu Chen:
Attacking the Madry Defense Model with L1-based Adversarial Examples. CoRR abs/1710.10733 (2017) - [i19]Hongge Chen, Huan Zhang, Pin-Yu Chen, Jinfeng Yi, Cho-Jui Hsieh:
Show-and-Fool: Crafting Adversarial Examples for Neural Image Captioning. CoRR abs/1712.02051 (2017) - 2016
- [j12]Pin-Yu Chen, Ching-Chao Lin, Shin-Ming Cheng, Hsu-Chun Hsiao, Chun-Ying Huang:
Decapitation via digital epidemics: a bio-inspired transmissive attack. IEEE Commun. Mag. 54(6): 75-81 (2016) - [c17]Pin-Yu Chen, Alfred O. Hero III:
Multilayer spectral graph clustering via convex layer aggregation. GlobalSIP 2016: 317-321 - [c16]Pin-Yu Chen, Sutanay Choudhury, Alfred O. Hero III:
Multi-centrality graph spectral decompositions and their application to cyber intrusion detection. ICASSP 2016: 4553-4557 - [c15]Shin-Ming Cheng, Pin-Yu Chen:
Ecology-Based DoS Attack in Cognitive Radio Networks. IEEE Symposium on Security and Privacy Workshops 2016: 104-110 - [i18]Pin-Yu Chen, Meng-Hsuan Sung, Shin-Ming Cheng:
Buffer Occupancy and Delivery Reliability Tradeoffs for Epidemic Routing. CoRR abs/1601.06345 (2016) - [i17]Pin-Yu Chen, Ching-Chao Lin, Shin-Ming Cheng, Hsu-Chun Hsiao, Chun-Ying Huang:
Decapitation via Digital Epidemics: A Bio-Inspired Transmissive Attack. CoRR abs/1603.00588 (2016) - [i16]Shin-Ming Cheng, Pin-Yu Chen:
Ecology-Based DoS Attack in Cognitive Radio Networks. CoRR abs/1603.01315 (2016) - [i15]Pin-Yu Chen, Alfred O. Hero III:
Phase Transitions and a Model Order Selection Criterion for Spectral Graph Clustering. CoRR abs/1604.03159 (2016) - [i14]Pin-Yu Chen, Chun-Chen Tu, Pai-Shun Ting, Ya-Yun Lo, Danai Koutra, Alfred O. Hero III:
Identifying Influential Links for Event Propagation on Twitter: A Network of Networks Approach. CoRR abs/1609.05378 (2016) - [i13]Pin-Yu Chen, Thibaut Gensollen, Alfred O. Hero III:
AMOS: An Automated Model Order Selection Algorithm for Spectral Graph Clustering. CoRR abs/1609.06457 (2016) - [i12]Pin-Yu Chen, Alfred O. Hero III:
Multilayer Spectral Graph Clustering via Convex Layer Aggregation. CoRR abs/1609.07200 (2016) - [i11]Pai-Shun Ting, Chun-Chen Tu, Pin-Yu Chen, Ya-Yun Lo, Shin-Ming Cheng:
FEAST: An Automated Feature Selection Framework for Compilation Tasks. CoRR abs/1610.09543 (2016) - 2015
- [j11]Pin-Yu Chen, Shin-Ming Cheng, Pai-Shun Ting, Chia-Wei Lien, Fu-Jen Chu:
When crowdsourcing meets mobile sensing: a social network perspective. IEEE Commun. Mag. 53(10): 157-163 (2015) - [j10]Pin-Yu Chen, Alfred O. Hero III:
Phase Transitions in Spectral Community Detection. IEEE Trans. Signal Process. 63(16): 4339-4347 (2015) - [j9]Pin-Yu Chen, Alfred O. Hero III:
Deep Community Detection. IEEE Trans. Signal Process. 63(21): 5706-5719 (2015) - [c14]Luke Rodriguez, Darren S. Curtis, Sutanay Choudhury, Kiri Oler, Peter Nordquist, Pin-Yu Chen, Indrajit Ray:
DEMO: Action Recommendation for Cyber Resilience. CCS 2015: 1620-1622 - [c13]Pin-Yu Chen, Chia-Wei Lien, Fu-Jen Chu, Pai-Shun Ting, Shin-Ming Cheng:
Supervised Collective Classification for Crowdsourcing. GLOBECOM Workshops 2015: 1-6 - [c12]Pin-Yu Chen, Alfred O. Hero III:
Phase transitions in spectral community detection of large noisy networks. ICASSP 2015: 3402-3406 - [c11]Pin-Yu Chen, Zhengling Qi, Yanxin Pan, Shin-Ming Cheng:
Multivariate and Categorical Analysis of Gaming Statistics. NBiS 2015: 286-293 - [c10]Sutanay Choudhury, Luke Rodriguez, Darren S. Curtis, Kiri Oler, Peter Nordquist, Pin-Yu Chen, Indrajit Ray:
Action Recommendation for Cyber Resilience. SafeConfig@CCS 2015: 3-8 - [i10]Pin-Yu Chen, Shin-Ming Cheng:
Sequential Defense Against Random and Intentional Attacks in Complex Networks. CoRR abs/1502.00065 (2015) - [i9]Pin-Yu Chen, Alfred O. Hero III:
Phase Transitions in Spectral Community Detection of Large Noisy Networks. CoRR abs/1504.02412 (2015) - [i8]Pin-Yu Chen, Chia-Wei Lien, Fu-Jen Chu, Pai-Shun Ting, Shin-Ming Cheng:
Supervised Collective Classification for Crowdsourcing. CoRR abs/1507.06682 (2015) - [i7]Pin-Yu Chen, Shin-Ming Cheng, Pai-Shun Ting, Chia-Wei Lien, Fu-Jen Chu:
When Crowdsourcing Meets Mobile Sensing: A Social Network Perspective. CoRR abs/1508.00299 (2015) - [i6]Pin-Yu Chen, Baichuan Zhang, Mohammad Al Hasan, Alfred O. Hero III:
Incremental Method for Spectral Clustering of Increasing Orders. CoRR abs/1512.07349 (2015) - [i5]Pin-Yu Chen, Sutanay Choudhury, Alfred O. Hero III:
Multi-centrality Graph Spectral Decompositions and their Application to Cyber Intrusion Detection. CoRR abs/1512.07372 (2015) - 2014
- [j8]Pin-Yu Chen, Alfred O. Hero III:
Assessing and safeguarding network resilience to nodal attacks. IEEE Commun. Mag. 52(11): 138-143 (2014) - [j7]Pin-Yu Chen, Shin-Ming Cheng, Kwang-Cheng Chen:
Information Fusion to Defend Intentional Attack in Internet of Things. IEEE Internet Things J. 1(4): 337-348 (2014) - [j6]Pin-Yu Chen, Shin-Ming Cheng, Kwang-Cheng Chen:
Optimal Control of Epidemic Information Dissemination Over Networks. IEEE Trans. Cybern. 44(12): 2316-2328 (2014) - [c9]Pin-Yu Chen, Alfred O. Hero III:
Local Fiedler vector centrality for detection of deep and overlapping communities in networks. ICASSP 2014: 1120-1124 - [c8]Pin-Yu Chen, Han-Feng Lin, Ko-Hsuan Hsu, Shin-Ming Cheng:
Modeling Dynamics of Malware with Incubation Period from the View of Individual. VTC Spring 2014: 1-5 - [i4]Pin-Yu Chen, Alfred O. Hero III:
Node Removal Vulnerability of the Largest Component of a Network. CoRR abs/1403.2024 (2014) - [i3]Pin-Yu Chen, Alfred O. Hero III:
Deep Community Detection. CoRR abs/1407.6071 (2014) - [i2]Pin-Yu Chen, Alfred O. Hero III:
Universal Phase Transition in Community Detectability under a Stochastic Block Model. CoRR abs/1409.2186 (2014) - [i1]Pin-Yu Chen, Alfred O. Hero III:
Phase Transitions in Spectral Community Detection. CoRR abs/1409.3207 (2014) - 2013
- [c7]Pin-Yu Chen, Alfred O. Hero III:
Node removal vulnerability of the largest component of a network. GlobalSIP 2013: 587-590 - 2012
- [j5]Pin-Yu Chen, Shin-Ming Cheng, Kwang-Cheng Chen:
Smart attacks in smart grid communication networks. IEEE Commun. Mag. 50(8): 24-29 (2012) - [j4]Pin-Yu Chen, Weng-Chon Ao, Kwang-Cheng Chen:
Rate-Delay Enhanced Multipath Transmission Scheme via Network Coding in Multihop Networks. IEEE Commun. Lett. 16(3): 281-283 (2012) - [j3]Weng-Chon Ao, Pin-Yu Chen, Kwang-Cheng Chen:
Rate-Reliability-Delay Tradeoff of Multipath Transmission Using Network Coding. IEEE Trans. Veh. Technol. 61(5): 2336-2342 (2012) - 2011
- [j2]Shin-Ming Cheng, Weng-Chon Ao, Pin-Yu Chen, Kwang-Cheng Chen:
On Modeling Malware Propagation in Generalized Social Networks. IEEE Commun. Lett. 15(1): 25-27 (2011) - [j1]Shin-Ming Cheng, Pin-Yu Chen, Kwang-Cheng Chen:
Ecology of Cognitive Radio Ad Hoc Networks. IEEE Commun. Lett. 15(7): 764-766 (2011) - [c6]Pin-Yu Chen, Kwang-Cheng Chen:
Intentional Attack and Fusion-Based Defense Strategy in Complex Networks. GLOBECOM 2011: 1-5 - [c5]Pin-Yu Chen, Kwang-Cheng Chen:
Optimal Control of Epidemic Information Dissemination in Mobile Ad Hoc Networks. GLOBECOM 2011: 1-5 - [c4]Shao-Yu Lien, Hou-Hsun Lee, Sung-Yin Shih, Pin-Yu Chen, Kwang-Cheng Chen:
Network synchronization among femtocells. GLOBECOM Workshops 2011: 248-252 - [c3]Pin-Yu Chen, Weng-Chon Ao, Shih-Chun Lin, Kwang-Cheng Chen:
Reciprocal spectrum sharing game and mechanism in cellular systems with Cognitive Radio users. GLOBECOM Workshops 2011: 981-985 - [c2]Pin-Yu Chen, Vasileios Karyotis, Symeon Papavassiliou, Kwang-Cheng Chen:
Topology control in multi-channel cognitive radio networks with non-uniform node arrangements. ISCC 2011: 1033-1037 - 2010
- [c1]Pin-Yu Chen, Kwang-Cheng Chen:
Information Epidemics in Complex Networks with Opportunistic Links and Dynamic Topology. GLOBECOM 2010: 1-6
Coauthor Index
Walon Wei-Chen Chiu
aka: Wei-Chen Chiu
aka: Wei-Chen Chiu
Ching Yun Ko
aka: Ching-Yun Ko
aka: Ching-Yun Ko
[j50] [j49] [c203] [c201] [c200] [i273] [i266] [i250] [i247] [i245] [c191] [c183] [c178] [c175] [c171] [c170] [c168] [c153] [i221] [i220] [i219] [i208] [i201] [i192] [i189] [c147] [c146] [c138] [c135] [c130] [c129] [c128] [c123] [c122] [c120] [i183] [i180] [i173] [i169] [i168] [i166] [i155] [i148] [i142] [j33] [c119] [c118] [c115] [c114] [c106] [c98] [c94] [c92] [c88] [i137] [i134] [i110] [i106] [i100] [j29] [c85] [c82] [c81] [c80] [c79] [c74] [c73] [c70] [c69] [c67] [c64] [i92] [i91] [i90] [i86] [i84] [i83] [i81] [i79] [i73] [i72] [j22] [c61] [c60] [c57] [c54] [c53] [c51] [c48] [c46] [i66] [i65] [i64] [i60] [i59] [i58] [i57] [j17] [c41] [c35] [c34] [c32] [c31] [c25] [i47] [i45] [i44] [i42] [i40] [i33] [j14] [c21] [i29] [i21]
[c218] [c216] [i277] [i274] [i258] [i228] [j39] [c185] [c177] [c176] [c162] [c158] [c157] [c150] [c149] [i212] [i205] [i195] [i187] [c145] [c137] [c132] [i177] [i176] [i175] [i170] [i151] [i150] [i149] [c107] [c103] [i135] [i118] [i112] [i111] [i102] [j32] [c76] [c75] [i93] [i89] [i78] [c56] [c44] [i70] [i63] [i34]
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