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2020 – today
- 2024
[j19]Jianchi Sun
, Yingjie Lao:
Efficient Data Extraction Circuit for Posit Number System: LDD-Based Posit Decoder. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(6): 1919-1923 (2024)- [j18]Weihang Tan, Sin-Wei Chiu, Antian Wang, Yingjie Lao, Keshab K. Parhi:
PaReNTT: Low-Latency Parallel Residue Number System and NTT-Based Long Polynomial Modular Multiplication for Homomorphic Encryption. IEEE Trans. Inf. Forensics Secur. 19: 1646-1659 (2024) - [j17]Joseph Franklin Clements, Yingjie Lao:
Reliable Hardware Watermarks for Deep Learning Systems. IEEE Trans. Very Large Scale Integr. Syst. 32(4): 752-762 (2024) - [c52]Joseph Clements, Yingjie Lao:
Resource Efficient Deep Learning Hardware Watermarks with Signature Alignment. AAAI 2024: 11651-11659 - [c51]Nguyen Hung-Quang, Yingjie Lao, Tung Pham, Kok-Seng Wong, Khoa D. Doan:
Understanding the Robustness of Randomized Feature Defense Against Query-Based Adversarial Attacks. ICLR 2024 - [c50]Weihang Tan, Yingjie Lao, Keshab K. Parhi:
Area-Efficient Matrix-Vector Polynomial Multiplication Architecture for ML-KEM Using Interleaving and Folding Transformation. ISCAS 2024: 1-5 - [i15]Bingyin Zhao, Zhiding Yu, Shiyi Lan, Yutao Cheng, Anima Anandkumar, Yingjie Lao, José M. Álvarez:
Fully Attentional Networks with Self-emerging Token Labeling. CoRR abs/2401.03844 (2024) - [i14]Duy C. Hoang, Hung T. Q. Le, Rui Chu, Ping Li, Weijie Zhao, Yingjie Lao, Khoa D. Doan:
Less is More: Sparse Watermarking in LLMs with Enhanced Text Quality. CoRR abs/2407.13803 (2024) - 2023
- [j16]Azadeh Famili, Yingjie Lao:
Deep Neural Network Quantization Framework for Effective Defense against Membership Inference Attacks. Sensors 23(18): 7722 (2023) - [j15]Weihang Tan, Antian Wang, Xinmiao Zhang, Yingjie Lao, Keshab K. Parhi:
High-Speed VLSI Architectures for Modular Polynomial Multiplication via Fast Filtering and Applications to Lattice-Based Cryptography. IEEE Trans. Computers 72(9): 2454-2466 (2023) - [j14]Bingyin Zhao, Ling Qiu, Yingjie Lao:
Data-Driven Feature Selection Framework for Approximate Circuit Design. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(11): 3519-3531 (2023) - [c49]Khoa D. Doan, Yingjie Lao, Peng Yang, Ping Li:
Defending Backdoor Attacks on Vision Transformer via Patch Processing. AAAI 2023: 506-515 - [c48]Antian Wang, Yingjie Lao:
Homomorphic Evaluation Friendly Vision Transformer Design. ACSSC 2023: 7-10 - [c47]Jinwei Liu, Yingjie Lao, Ying Mao, Rajkumar Buyya:
Sailfish: A Dependency-Aware and Resource Efficient Scheduling for Low Latency in Clouds. IEEE Big Data 2023: 237-246 - [c46]Antian Wang, Bingyin Zhao, Weihang Tan, Yingjie Lao:
NNTesting: Neural Network Fault Attacks Detection Using Gradient-Based Test Vector Generation. DAC 2023: 1-6 - [c45]Weihang Tan, Yingjie Lao, Keshab K. Parhi:
KyberMat: Efficient Accelerator for Matrix-Vector Polynomial Multiplication in CRYSTALS-Kyber Scheme via NTT and Polyphase Decomposition. ICCAD 2023: 1-9 - [c44]Bingyin Zhao, Zhiding Yu, Shiyi Lan, Yutao Cheng, Anima Anandkumar, Yingjie Lao, José M. Álvarez:
Fully Attentional Networks with Self-emerging Token Labeling. ICCV 2023: 5562-5572 - [c43]Huawei Lin, Jun Woo Chung, Yingjie Lao, Weijie Zhao:
Machine Unlearning in Gradient Boosting Decision Trees. KDD 2023: 1374-1383 - [i13]Weihang Tan, Sin-Wei Chiu, Antian Wang, Yingjie Lao, Keshab K. Parhi:
PaReNTT: Low-Latency Parallel Residue Number System and NTT-Based Long Polynomial Modular Multiplication for Homomorphic Encryption. CoRR abs/2303.02237 (2023) - [i12]Quang H. Nguyen, Yingjie Lao, Tung Pham, Kok-Seng Wong, Khoa D. Doan:
Understanding the Robustness of Randomized Feature Defense Against Query-Based Adversarial Attacks. CoRR abs/2310.00567 (2023) - [i11]Weihang Tan, Yingjie Lao, Keshab K. Parhi:
KyberMat: Efficient Accelerator for Matrix-Vector Polynomial Multiplication in CRYSTALS-Kyber Scheme via NTT and Polyphase Decomposition. CoRR abs/2310.04618 (2023) - [i10]Bingyin Zhao, Yingjie Lao:
UltraClean: A Simple Framework to Train Robust Neural Networks against Backdoor Attacks. CoRR abs/2312.10657 (2023) - 2022
- [j13]Jianchi Sun, Nikhilesh Sharma, Jacob Chakareski, Nicholas Mastronarde, Yingjie Lao:
Hardware Acceleration for Postdecision State Reinforcement Learning in IoT Systems. IEEE Internet Things J. 9(12): 9889-9903 (2022) - [c42]Joseph Clements, Yingjie Lao:
DeepHardMark: Towards Watermarking Neural Network Hardware. AAAI 2022: 4450-4458 - [c41]Bingyin Zhao, Yingjie Lao:
CLPA: Clean-Label Poisoning Availability Attacks Using Generative Adversarial Nets. AAAI 2022: 9162-9170 - [c40]Yingjie Lao, Weijie Zhao, Peng Yang, Ping Li:
DeepAuth: A DNN Authentication Framework by Model-Unique and Fragile Signature Embedding. AAAI 2022: 9595-9603 - [c39]Faysal Hossain Shezan, Yingjie Lao, Minlong Peng, Xin Wang, Mingming Sun, Ping Li:
NL2GDPR: Automatically Develop GDPR Compliant Android Application Features from Natural Language. CNS 2022: 1-9 - [c38]Antian Wang, Weihang Tan, Keshab K. Parhi, Yingjie Lao:
Integral Sampler and Polynomial Multiplication Architecture for Lattice-based Cryptography. DFT 2022: 1-6 - [c37]Joseph Clements, Yingjie Lao:
In Pursuit of Preserving the Fidelity of Adversarial Images. ICASSP 2022: 2859-2863 - [c36]Yingjie Lao, Peng Yang, Weijie Zhao, Ping Li:
Identification for Deep Neural Network: Simply Adjusting Few Weights! ICDE 2022: 1328-1341 - [c35]Charles Kowalski, Azadeh Famili, Yingjie Lao:
Towards Model Quantization on the Resilience Against Membership Inference Attacks. ICIP 2022: 3646-3650 - [c34]Azadeh Famili, Yingjie Lao:
Genetic-based Joint Dynamic Pruning and Learning Algorithm to Boost DNN Performance. ICPR 2022: 2100-2106 - [c33]Weijie Zhao, Yingjie Lao, Ping Li:
Integrity Authentication in Tree Models. KDD 2022: 2585-2593 - [c32]Khoa D. Doan, Yingjie Lao, Ping Li:
Marksman Backdoor: Backdoor Attacks with Arbitrary Target Class. NeurIPS 2022 - [c31]Bingyin Zhao, Yingjie Lao:
Towards Class-Oriented Poisoning Attacks Against Neural Networks. WACV 2022: 2244-2253 - [i9]Weijie Zhao, Yingjie Lao, Ping Li:
Integrity Authentication in Tree Models. CoRR abs/2205.15444 (2022) - [i8]Khoa D. Doan, Yingjie Lao, Peng Yang, Ping Li:
Defending Backdoor Attacks on Vision Transformer via Patch Processing. CoRR abs/2206.12381 (2022) - [i7]Faysal Hossain Shezan, Yingjie Lao, Minlong Peng, Xin Wang, Mingming Sun, Ping Li:
NL2GDPR: Automatically Develop GDPR Compliant Android Application Features from Natural Language. CoRR abs/2208.13361 (2022) - [i6]Antian Wang, Weihang Tan, Keshab K. Parhi, Yingjie Lao:
Integral Sampler and Polynomial Multiplication Architecture for Lattice-based Cryptography. CoRR abs/2208.14270 (2022) - [i5]Khoa D. Doan, Yingjie Lao, Ping Li:
Marksman Backdoor: Backdoor Attacks with Arbitrary Target Class. CoRR abs/2210.09194 (2022) - 2021
- [j12]Antian Wang, Weihang Tan, Yuejiang Wen, Yingjie Lao:
NoPUF: A Novel PUF Design Framework Toward Modeling Attack Resistant PUFs. IEEE Trans. Circuits Syst. I Regul. Pap. 68(6): 2508-2521 (2021) - [j11]Weihang Tan, Benjamin M. Case, Antian Wang, Shuhong Gao, Yingjie Lao:
High-Speed Modular Multiplier for Lattice-Based Cryptosystems. IEEE Trans. Circuits Syst. II Express Briefs 68(8): 2927-2931 (2021) - [j10]Weihang Tan, Benjamin M. Case, Gengran Hu, Shuhong Gao, Yingjie Lao:
An Ultra-Highly Parallel Polynomial Multiplier for the Bootstrapping Algorithm in a Fully Homomorphic Encryption Scheme. J. Signal Process. Syst. 93(6): 643-656 (2021) - [c30]Weihang Tan, Antian Wang, Yingjie Lao, Xinmiao Zhang, Keshab K. Parhi:
Pipelined High-Throughput NTT Architecture for Lattice-Based Cryptography. AsianHOST 2021: 1-4 - [c29]Khoa D. Doan, Yingjie Lao, Weijie Zhao, Ping Li:
LIRA: Learnable, Imperceptible and Robust Backdoor Attacks. ICCV 2021: 11946-11956 - [c28]Peng Yang, Yingjie Lao, Ping Li:
Robust Watermarking for Deep Neural Networks via Bi-level Optimization. ICCV 2021: 14821-14830 - [c27]Khoa D. Doan, Yingjie Lao, Ping Li:
Backdoor Attack with Imperceptible Input and Latent Modification. NeurIPS 2021: 18944-18957 - [c26]Joseph Clements, Yuzhe Yang, Ankur A Sharma, Hongxin Hu, Yingjie Lao:
Rallying Adversarial Techniques against Deep Learning for Network Security. SSCI 2021: 1-8 - [i4]Weihang Tan, Antian Wang, Yingjie Lao, Xinmiao Zhang, Keshab K. Parhi:
Low-Latency VLSI Architectures for Modular Polynomial Multiplication via Fast Filtering and Applications to Lattice-Based Cryptography. CoRR abs/2110.12127 (2021) - 2020
- [j9]Yunhao Xu, Yingjie Lao, Weiqiang Liu, Zaichen Zhang, Xiaohu You, Chuan Zhang:
Mathematical Modeling Analysis of Strong Physical Unclonable Functions. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(12): 4426-4438 (2020) - [c25]Weihang Tan, Antian Wang, Yunhao Xu, Yingjie Lao:
Area-Efficient Pipelined VLSI Architecture for Polar Decoder. ISVLSI 2020: 352-357 - [c24]Jianchi Sun, Nikhilesh Sharma, Jacob Chakareski, Nicholas Mastronarde, Yingjie Lao:
Action Evaluation Hardware Accelerator for Next-Generation Real-Time Reinforcement Learning in Emerging IoT Systems. ISVLSI 2020: 428-433 - [i3]Bingyin Zhao, Yingjie Lao:
Class-Oriented Poisoning Attack. CoRR abs/2008.00047 (2020)
2010 – 2019
- 2019
- [j8]Xinmiao Zhang, Yingjie Lao:
On the Construction of Composite Finite Fields for Hardware Obfuscation. IEEE Trans. Computers 68(9): 1353-1364 (2019) - [c23]Yunhao Xu, Yingjie Lao, Weiqiang Liu, Chuan Zhang:
Security Analysis and Modeling Attacks on Duty Cycle Multiplexer PUF. ASICON 2019: 1-4 - [c22]Joseph Clements, Yingjie Lao:
Hardware Trojan Design on Neural Networks. ISCAS 2019: 1-5 - [c21]Ankur A Sharma, Xinmiao Zhang, Yingjie Lao:
Hardware Obfuscation Through Reconfiguration Finite Field Arithmetic Units. ISCAS 2019: 1-5 - [c20]Ling Qiu, Ziji Zhang, Jon Calhoun, Yingjie Lao:
Towards Data-Driven Approximate Circuit Design. ISVLSI 2019: 397-402 - [c19]Weihang Tan, Aengran Au, Benjamin Aase, Shuhong Aao, Yingjie Lao:
An Efficient Polynomial Multiplier Architecture for the Bootstrapping Algorithm in a Fully Homomorphic Encryption Scheme. SiPS 2019: 85-90 - [i2]Joseph Clements, Yuzhe Yang, Ankur A Sharma, Hongxin Hu, Yingjie Lao:
Rallying Adversarial Techniques against Deep Learning for Network Security. CoRR abs/1903.11688 (2019) - 2018
- [j7]Yingjie Lao, Keshab K. Parhi:
Canonic Composite Length Real-Valued FFT. J. Signal Process. Syst. 90(10): 1401-1414 (2018) - [c18]Kai Sun, Yifei Shen, Yingjie Lao, Zaichen Zhang, Xiaohu You, Chuan Zhang:
A New Error Correction Scheme for Physical Unclonable Function. APCCAS 2018: 374-377 - [c17]Joseph Clements, Yingjie Lao:
Backdoor Attacks on Neural Network Operations. GlobalSIP 2018: 1154-1158 - [c16]Ling Qiu, Yingjie Lao:
A Systematic Method for Approximate Circuit Design Using Feature Selection. ISCAS 2018: 1-5 - [c15]Yuejiang Wen, Yingjie Lao:
PUF Modeling Attack using Active Learning. ISCAS 2018: 1-5 - [c14]Bingyin Zhao, Yingjie Lao:
Resilience of Pruned Neural Network Against Poisoning Attack. MALWARE 2018: 78-83 - [c13]Xiaojia Wang, Yingjie Lao:
Utilizing Inherent Randomness in Stochastic Computing. MWSCAS 2018: 1-4 - [c12]Yuejiang Wen, Yingjie Lao:
Efficient PUF Error Correction through Response Weighting. MWSCAS 2018: 849-852 - [i1]Joseph Clements, Yingjie Lao:
Hardware Trojan Attacks on Neural Networks. CoRR abs/1806.05768 (2018) - 2017
- [j6]Yingjie Lao, Keshab K. Parhi:
Canonic FFT flow graphs for real-valued even/odd symmetric inputs. EURASIP J. Adv. Signal Process. 2017: 45 (2017) - [j5]Yingjie Lao, Bo Yuan, Chris H. Kim, Keshab K. Parhi:
Reliable PUF-Based Local Authentication With Self-Correction. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 36(2): 201-213 (2017) - [c11]Yunhao Xu, Yingjie Lao, Weiqiang Liu, Xiaohu You, Chuan Zhang:
DC MUX PUF: A highly reliable feed-back MUX PUF based on measuring duty cycle. ASICON 2017: 883-886 - [c10]Yuejiang Wen, Yingjie Lao:
Enhancing PUF reliability by machine learning. ISCAS 2017: 1-4 - [c9]Yuejiang Wen, Yingjie Lao:
Efficient fuzzy extractor implementations for PUF based authentication. MALWARE 2017: 119-125 - 2016
- [j4]Yingjie Lao, Qianying Tang, Chris H. Kim, Keshab K. Parhi:
Beat Frequency Detector-Based High-Speed True Random Number Generators: Statistical Modeling and Analysis. ACM J. Emerg. Technol. Comput. Syst. 13(1): 9:1-9:25 (2016) - [c8]S. V. Sandeep Avvaru, Chen Zhou, Saroj Satapathy, Yingjie Lao, Chris H. Kim, Keshab K. Parhi:
Estimating delay differences of arbiter PUFs using silicon data. DATE 2016: 543-546 - [c7]Chen Zhou, Saroj Satapathy, Yingjie Lao, Keshab K. Parhi, Chris H. Kim:
Soft Response Generation and Thresholding Strategies for Linear and Feed-Forward MUX PUFs. ISLPED 2016: 124-129 - [c6]Yingjie Lao, Keshab K. Parhi:
Data-Canonic Real FFT Flow-Graphs for Composite Lengths. SiPS 2016: 189-194 - 2015
- [j3]Yingjie Lao, Keshab K. Parhi:
Obfuscating DSP Circuits via High-Level Transformations. IEEE Trans. Very Large Scale Integr. Syst. 23(5): 819-830 (2015) - [c5]Yingjie Lao, Keshab K. Parhi:
Canonic real-valued radix-2n FFT computations. ACSSC 2015: 441-446 - [c4]Goutham N. C. Shanmugam, Yingjie Lao, Keshab K. Parhi:
An obfuscated radix-2 real FFT architecture. ICASSP 2015: 1056-1060 - 2014
- [j2]Yingjie Lao, Keshab K. Parhi:
Statistical Analysis of MUX-Based Physical Unclonable Functions. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 33(5): 649-662 (2014) - [c3]Megha Parhi, Yingjie Lao, Keshab K. Parhi:
Canonic real-valued FFT structures. ACSSC 2014: 1261-1265 - [c2]Qianying Tang, Bongjin Kim, Yingjie Lao, Keshab K. Parhi, Chris H. Kim:
True Random Number Generator circuits based on single- and multi-phase beat frequency detection. CICC 2014: 1-4 - [c1]Yingjie Lao, Keshab K. Parhi:
Protecting DSP circuits through obfuscation. ISCAS 2014: 798-801 - 2013
- [j1]Manohar Ayinala, Yingjie Lao, Keshab K. Parhi:
An In-Place FFT Architecture for Real-Valued Signals. IEEE Trans. Circuits Syst. II Express Briefs 60-II(10): 652-656 (2013)
Coauthor Index
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last updated on 2024-11-14 00:53 CET by the dblp team
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