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Conference and Workshop Papers
- 2024
[c6]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- 2023
- [c5]Shaokui Wei, Jiayin Liu, Bing Li, Hongyuan Zha:
Mean Parity Fair Regression in RKHS. AISTATS 2023: 4602-4628 - [c4]Mingli Zhu, Shaokui Wei, Li Shen, Yanbo Fan, Baoyuan Wu:
Enhancing Fine-Tuning based Backdoor Defense with Sharpness-Aware Minimization. ICCV 2023: 4443-4454 - [c3]Shaokui Wei, Mingda Zhang, Hongyuan Zha, Baoyuan Wu:
Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared Adversarial Examples. NeurIPS 2023 - [c2]Mingli Zhu, Shaokui Wei, Hongyuan Zha, Baoyuan Wu:
Neural Polarizer: A Lightweight and Effective Backdoor Defense via Purifying Poisoned Features. NeurIPS 2023 - 2022
- [c1]Baoyuan Wu, Hongrui Chen, Mingda Zhang, Zihao Zhu, Shaokui Wei, Danni Yuan, Chao Shen:
BackdoorBench: A Comprehensive Benchmark of Backdoor Learning. NeurIPS 2022
Informal and Other Publications
- 2024
- [i13]Zhengyao Song, Yongqiang Li, Danni Yuan, Li Liu, Shaokui Wei, Baoyuan Wu:
WPDA: Frequency-based Backdoor Attack with Wavelet Packet Decomposition. CoRR abs/2401.13578 (2024) - [i12]Shaokui Wei, Hongyuan Zha, Baoyuan Wu:
Mitigating Backdoor Attack by Injecting Proactive Defensive Backdoor. CoRR abs/2405.16112 (2024) - [i11]Weilin Lin, Li Liu, Shaokui Wei, Jianze Li, Hui Xiong:
Unveiling and Mitigating Backdoor Vulnerabilities based on Unlearning Weight Changes and Backdoor Activeness. CoRR abs/2405.20291 (2024) - [i10]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 abs/2407.19845 (2024) - 2023
- [i9]Shaokui Wei, Jiayin Liu, Bing Li, Hongyuan Zha:
Mean Parity Fair Regression in RKHS. CoRR abs/2302.10409 (2023) - [i8]Mingli Zhu, Shaokui Wei, Li Shen, Yanbo Fan, Baoyuan Wu:
Enhancing Fine-Tuning Based Backdoor Defense with Sharpness-Aware Minimization. CoRR abs/2304.11823 (2023) - [i7]Mingli Zhu, Shaokui Wei, Hongyuan Zha, Baoyuan Wu:
Neural Polarizer: A Lightweight and Effective Backdoor Defense via Purifying Poisoned Features. CoRR abs/2306.16697 (2023) - [i6]Zihao Zhu, Mingda Zhang, Shaokui Wei, Li Shen, Yanbo Fan, Baoyuan Wu:
Boosting Backdoor Attack with A Learnable Poisoning Sample Selection Strategy. CoRR abs/2307.07328 (2023) - [i5]Shaokui Wei, Mingda Zhang, Hongyuan Zha, Baoyuan Wu:
Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared Adversarial Examples. CoRR abs/2307.10562 (2023) - [i4]Zihao Zhu, Mingda Zhang, Shaokui Wei, Bingzhe Wu
, Baoyuan Wu:
VDC: Versatile Data Cleanser for Detecting Dirty Samples via Visual-Linguistic Inconsistency. CoRR abs/2309.16211 (2023) - [i3]Danni Yuan, Shaokui Wei, Mingda Zhang, Li Liu, Baoyuan Wu:
Activation Gradient based Poisoned Sample Detection Against Backdoor Attacks. CoRR abs/2312.06230 (2023) - [i2]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 abs/2312.08890 (2023) - 2022
- [i1]Baoyuan Wu, Hongrui Chen, Mingda Zhang, Zihao Zhu, Shaokui Wei, Danni Yuan, Chao Shen, Hongyuan Zha:
BackdoorBench: A Comprehensive Benchmark of Backdoor Learning. CoRR abs/2206.12654 (2022)
Coauthor Index
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