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2020 – today
- 2024
[c16]Jiayi Fu, Xuandong Zhao, Ruihan Yang, Yuansen Zhang, Jiangjie Chen, Yanghua Xiao:
GumbelSoft: Diversified Language Model Watermarking via the GumbelMax-trick. ACL (1) 2024: 5791-5808- [c15]Wenda Xu, Guanglei Zhu, Xuandong Zhao, Liangming Pan, Lei Li, William Wang:
Pride and Prejudice: LLM Amplifies Self-Bias in Self-Refinement. ACL (1) 2024: 15474-15492 - [c14]Shaoshuai Huang
, Xuandong Zhao, Dapeng Wei, Xinheng Song, Yuanbo Sun:
Chatbot and Fatigued Driver: Exploring the Use of LLM-Based Voice Assistants for Driving Fatigue. CHI Extended Abstracts 2024: 74:1-74:8 - [c13]Xianjun Yang, Liangming Pan, Xuandong Zhao, Haifeng Chen, Linda R. Petzold, William Yang Wang, Wei Cheng:
A Survey on Detection of LLMs-Generated Content. EMNLP (Findings) 2024: 9786-9805 - [c12]Xuandong Zhao, Prabhanjan Vijendra Ananth, Lei Li, Yu-Xiang Wang:
Provable Robust Watermarking for AI-Generated Text. ICLR 2024 - [c11]André V. Duarte, Xuandong Zhao, Arlindo L. Oliveira, Lei Li:
DE-COP: Detecting Copyrighted Content in Language Models Training Data. ICML 2024 - [c10]Weixin Liang, Zachary Izzo, Yaohui Zhang, Haley Lepp, Hancheng Cao, Xuandong Zhao, Lingjiao Chen, Haotian Ye, Sheng Liu, Zhi Huang, Daniel A. McFarland, James Y. Zou:
Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews. ICML 2024 - [i26]Xuandong Zhao, Xianjun Yang, Tianyu Pang, Chao Du, Lei Li, Yu-Xiang Wang, William Yang Wang:
Weak-to-Strong Jailbreaking on Large Language Models. CoRR abs/2401.17256 (2024) - [i25]Xuandong Zhao, Lei Li, Yu-Xiang Wang:
Permute-and-Flip: An optimally robust and watermarkable decoder for LLMs. CoRR abs/2402.05864 (2024) - [i24]André V. Duarte, Xuandong Zhao, Arlindo L. Oliveira, Lei Li:
DE-COP: Detecting Copyrighted Content in Language Models Training Data. CoRR abs/2402.09910 (2024) - [i23]Wenda Xu, Guanglei Zhu, Xuandong Zhao, Liangming Pan, Lei Li, William Yang Wang:
Perils of Self-Feedback: Self-Bias Amplifies in Large Language Models. CoRR abs/2402.11436 (2024) - [i22]Jiayi Fu, Xuandong Zhao, Ruihan Yang, Yuansen Zhang, Jiangjie Chen, Yanghua Xiao:
GumbelSoft: Diversified Language Model Watermarking via the GumbelMax-trick. CoRR abs/2402.12948 (2024) - [i21]Weixin Liang, Zachary Izzo, Yaohui Zhang, Haley Lepp, Hancheng Cao, Xuandong Zhao, Lingjiao Chen, Haotian Ye, Sheng Liu, Zhi Huang, Daniel A. McFarland, James Y. Zou:
Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews. CoRR abs/2403.07183 (2024) - [i20]Weixin Liang, Yaohui Zhang, Zhengxuan Wu, Haley Lepp, Wenlong Ji, Xuandong Zhao, Hancheng Cao, Sheng Liu, Siyu He, Zhi Huang, Diyi Yang, Christopher Potts, Christopher D. Manning, James Y. Zou:
Mapping the Increasing Use of LLMs in Scientific Papers. CoRR abs/2404.01268 (2024) - [i19]Leyi Pan, Aiwei Liu, Zhiwei He, Zitian Gao, Xuandong Zhao, Yijian Lu, Binglin Zhou, Shuliang Liu, Xuming Hu, Lijie Wen, Irwin King:
MarkLLM: An Open-Source Toolkit for LLM Watermarking. CoRR abs/2405.10051 (2024) - [i18]Tong Zhou, Xuandong Zhao, Xiaolin Xu, Shaolei Ren:
Bileve: Securing Text Provenance in Large Language Models Against Spoofing with Bi-level Signature. CoRR abs/2406.01946 (2024) - [i17]Jielin Qiu, William Han, Xuandong Zhao, Shangbang Long, Christos Faloutsos, Lei Li:
Evaluating Durability: Benchmark Insights into Multimodal Watermarking. CoRR abs/2406.03728 (2024) - [i16]Xuandong Zhao, Chenwen Liao, Yu-Xiang Wang, Lei Li:
Efficiently Identifying Watermarked Segments in Mixed-Source Texts. CoRR abs/2410.03600 (2024) - [i15]Kaiwen Zhou, Chengzhi Liu, Xuandong Zhao, Anderson Compalas, Dawn Song, Xin Eric Wang:
Multimodal Situational Safety. CoRR abs/2410.06172 (2024) - [i14]Sam Gunn, Xuandong Zhao, Dawn Song:
An undetectable watermark for generative image models. CoRR abs/2410.07369 (2024) - [i13]Sam Gunn, Xuandong Zhao, Dawn Song:
An undetectable watermark for generative image models. IACR Cryptol. ePrint Arch. 2024: 1597 (2024) - 2023
- [c9]Xuandong Zhao, Siqi Ouyang, Zhiguo Yu, Ming Wu, Lei Li:
Pre-trained Language Models Can be Fully Zero-Shot Learners. ACL (1) 2023: 15590-15606 - [c8]Xuandong Zhao, Yu-Xiang Wang, Lei Li:
Protecting Language Generation Models via Invisible Watermarking. ICML 2023: 42187-42199 - [c7]Yuqing Zhu, Xuandong Zhao, Chuan Guo, Yu-Xiang Wang:
Private Prediction Strikes Back! Private Kernelized Nearest Neighbors with Individual Rényi Filter. UAI 2023: 2586-2596 - [i12]Xuandong Zhao, Yu-Xiang Wang, Lei Li:
Protecting Language Generation Models via Invisible Watermarking. CoRR abs/2302.03162 (2023) - [i11]Xuandong Zhao, Kexun Zhang, Yu-Xiang Wang, Lei Li:
Generative Autoencoders as Watermark Attackers: Analyses of Vulnerabilities and Threats. CoRR abs/2306.01953 (2023) - [i10]Yuqing Zhu, Xuandong Zhao, Chuan Guo, Yu-Xiang Wang:
"Private Prediction Strikes Back!" Private Kernelized Nearest Neighbors with Individual Renyi Filter. CoRR abs/2306.07381 (2023) - [i9]Xuandong Zhao, Prabhanjan Ananth, Lei Li, Yu-Xiang Wang:
Provable Robust Watermarking for AI-Generated Text. CoRR abs/2306.17439 (2023) - [i8]Xianjun Yang, Liangming Pan, Xuandong Zhao, Haifeng Chen, Linda R. Petzold, William Yang Wang, Wei Cheng:
A Survey on Detection of LLMs-Generated Content. CoRR abs/2310.15654 (2023) - 2022
- [c6]Xuandong Zhao, Zhiguo Yu, Ming Wu, Lei Li:
Compressing Sentence Representation for Semantic Retrieval via Homomorphic Projective Distillation. ACL (Findings) 2022: 774-781 - [c5]Xuandong Zhao, Lei Li, Yu-Xiang Wang:
Distillation-Resistant Watermarking for Model Protection in NLP. EMNLP (Findings) 2022: 5044-5055 - [c4]Xuandong Zhao, Lei Li, Yu-Xiang Wang:
Provably Confidential Language Modelling. NAACL-HLT 2022: 943-955 - [i7]Xuandong Zhao, Zhiguo Yu, Ming Wu, Lei Li:
Compressing Sentence Representation for Semantic Retrieval via Homomorphic Projective Distillation. CoRR abs/2203.07687 (2022) - [i6]Xuandong Zhao, Lei Li, Yu-Xiang Wang:
Provably Confidential Language Modelling. CoRR abs/2205.01863 (2022) - [i5]Xuandong Zhao, Lei Li, Yu-Xiang Wang:
Distillation-Resistant Watermarking for Model Protection in NLP. CoRR abs/2210.03312 (2022) - [i4]Xuandong Zhao, Siqi Ouyang, Zhiguo Yu, Ming Wu, Lei Li:
Pre-trained Language Models can be Fully Zero-Shot Learners. CoRR abs/2212.06950 (2022) - 2021
- [c3]Dheeraj Baby, Xuandong Zhao, Yu-Xiang Wang:
An Optimal Reduction of TV-Denoising to Adaptive Online Learning. AISTATS 2021: 2899-2907 - [i3]Dheeraj Baby, Xuandong Zhao, Yu-Xiang Wang:
An Optimal Reduction of TV-Denoising to Adaptive Online Learning. CoRR abs/2101.09438 (2021) - 2020
- [i2]Xuandong Zhao, Jinbao Xue, Jin Yu, Xi Li, Hongxia Yang:
A Multi-Semantic Metapath Model for Large Scale Heterogeneous Network Representation Learning. CoRR abs/2007.11380 (2020)
2010 – 2019
- 2019
- [c2]Jiaming Guo, Wei Qiu, Xiang Li, Xuandong Zhao, Ning Guo, Quanzheng Li:
Predicting Alzheimer's Disease by Hierarchical Graph Convolution from Positron Emission Tomography Imaging. IEEE BigData 2019: 5359-5363 - [c1]Xuandong Zhao, Xiang Li, Ning Guo, Zhiling Zhou, Xiaxia Meng, Quanzheng Li:
Multi-Size Computer-Aided Diagnosis Of Positron Emission Tomography Images Using Graph Convolutional Networks. ISBI 2019: 837-840 - [i1]Jiaming Guo, Wei Qiu, Xiang Li, Xuandong Zhao, Ning Guo, Quanzheng Li:
Predicting Alzheimer's Disease by Hierarchical Graph Convolution from Positron Emission Tomography Imaging. CoRR abs/1910.00185 (2019)
Coauthor Index
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