Shaokui Wei

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 20

Top Topics

Cauchy Mutation

Advanced Research Projects Agency

Wavelet Packet Decomposition

Top Venues

Publications

Baoyuan Wu, Hongrui Chen, Mingda Zhang, Zihao Zhu, Shaokui Wei, Danni Yuan, Mingli Zhu, Ruotong Wang, Li Liu, Chao Shen
BackdoorBench: A Comprehensive Benchmark and Analysis of Backdoor Learning. CoRR (2024)
Zihao Zhu, Mingda Zhang, Shaokui Wei, Bingzhe Wu, Baoyuan Wu
VDC: Versatile Data Cleanser based on Visual-Linguistic Inconsistency by Multimodal Large Language Models. ICLR (2024)
Weilin Lin, Li Liu, Shaokui Wei, Jianze Li, Hui Xiong
Unveiling and Mitigating Backdoor Vulnerabilities based on Unlearning Weight Changes and Backdoor Activeness. CoRR (2024)
Baoyuan Wu, Hongrui Chen, Mingda Zhang, Zihao Zhu, Shaokui Wei, Danni Yuan, Mingli Zhu, Ruotong Wang, Li Liu, Chao Shen
BackdoorBench: A Comprehensive Benchmark and Analysis of Backdoor Learning. CoRR (2024)
Shaokui Wei, Hongyuan Zha, Baoyuan Wu
Mitigating Backdoor Attack by Injecting Proactive Defensive Backdoor. CoRR (2024)
Zhengyao Song, Yongqiang Li, Danni Yuan, Li Liu, Shaokui Wei, Baoyuan Wu
WPDA: Frequency-based Backdoor Attack with Wavelet Packet Decomposition. CoRR (2024)
Mingli Zhu, Shaokui Wei, Hongyuan Zha, Baoyuan Wu
Neural Polarizer: A Lightweight and Effective Backdoor Defense via Purifying Poisoned Features. CoRR (2023)
Shaokui Wei, Mingda Zhang, Hongyuan Zha, Baoyuan Wu
Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared Adversarial Examples. CoRR (2023)
Shaokui Wei, Jiayin Liu, Bing Li, Hongyuan Zha
Mean Parity Fair Regression in RKHS. AISTATS (2023)
Danni Yuan, Shaokui Wei, Mingda Zhang, Li Liu, Baoyuan Wu
Activation Gradient based Poisoned Sample Detection Against Backdoor Attacks. CoRR (2023)
Mingli Zhu, Shaokui Wei, Hongyuan Zha, Baoyuan Wu
Neural Polarizer: A Lightweight and Effective Backdoor Defense via Purifying Poisoned Features. NeurIPS (2023)
Mingli Zhu, Shaokui Wei, Li Shen, Yanbo Fan, Baoyuan Wu
Enhancing Fine-Tuning based Backdoor Defense with Sharpness-Aware Minimization. ICCV (2023)
Shaokui Wei, Jiayin Liu, Bing Li, Hongyuan Zha
Mean Parity Fair Regression in RKHS. CoRR (2023)
Zihao Zhu, Mingda Zhang, Shaokui Wei, Bingzhe Wu, Baoyuan Wu
VDC: Versatile Data Cleanser for Detecting Dirty Samples via Visual-Linguistic Inconsistency. CoRR (2023)
Zihao Zhu, Mingda Zhang, Shaokui Wei, Li Shen, Yanbo Fan, Baoyuan Wu
Boosting Backdoor Attack with A Learnable Poisoning Sample Selection Strategy. CoRR (2023)
Shaokui Wei, Mingda Zhang, Hongyuan Zha, Baoyuan Wu
Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared Adversarial Examples. NeurIPS (2023)
Mingli Zhu, Shaokui Wei, Li Shen, Yanbo Fan, Baoyuan Wu
Enhancing Fine-Tuning Based Backdoor Defense with Sharpness-Aware Minimization. CoRR (2023)
Baoyuan Wu, Shaokui Wei, Mingli Zhu, Meixi Zheng, Zihao Zhu, Mingda Zhang, Hongrui Chen, Danni Yuan, Li Liu, Qingshan Liu
Defenses in Adversarial Machine Learning: A Survey. CoRR (2023)
Baoyuan Wu, Hongrui Chen, Mingda Zhang, Zihao Zhu, Shaokui Wei, Danni Yuan, Chao Shen
BackdoorBench: A Comprehensive Benchmark of Backdoor Learning. NeurIPS (2022)
Baoyuan Wu, Hongrui Chen, Mingda Zhang, Zihao Zhu, Shaokui Wei, Danni Yuan, Chao Shen, Hongyuan Zha
BackdoorBench: A Comprehensive Benchmark of Backdoor Learning. CoRR (2022)