Shaokui Wei

According to our database, Shaokui Wei authored at least 18 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

BackdoorBench: A Comprehensive Benchmark and Analysis of Backdoor Learning.

Baoyuan Wu, Hongrui Chen, Mingda Zhang, Zihao Zhu, Shaokui Wei, Danni Yuan, Mingli Zhu, Ruotong Wang, Li Liu, Chao Shen

Int. J. Comput. Vis., August, 2025

Class-Conditional Neural Polarizer: A Lightweight and Effective Backdoor Defense by Purifying Poisoned Features.

Mingli Zhu, Shaokui Wei, Hongyuan Zha, Baoyuan Wu

CoRR, February, 2025

Revisiting the Auxiliary Data in Backdoor Purification.

Shaokui Wei, Shanchao Yang, Jiayin Liu, Hongyuan Zha

CoRR, February, 2025

Activation Gradient based Poisoned Sample Detection Against Backdoor Attacks.

Danni Yuan, Mingda Zhang, Shaokui Wei, Li Liu, Baoyuan Wu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Backdoor Mitigation by Distance-Driven Detoxification.

Shaokui Wei, Jiayin Liu, Hongyuan Zha

CoRR, 2024

WPDA: Frequency-based Backdoor Attack with Wavelet Packet Decomposition.

Zhengyao Song, Yongqiang Li, Danni Yuan, Li Liu, Shaokui Wei, Baoyuan Wu

CoRR, 2024

Mitigating Backdoor Attack by Injecting Proactive Defensive Backdoor.

Shaokui Wei, Hongyuan Zha, Baoyuan Wu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Unveiling and Mitigating Backdoor Vulnerabilities based on Unlearning Weight Changes and Backdoor Activeness.

Weilin Lin, Li Liu, Shaokui Wei, Jianze Li, Hui Xiong

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

VDC: Versatile Data Cleanser based on Visual-Linguistic Inconsistency by Multimodal Large Language Models.

Zihao Zhu, Mingda Zhang, Shaokui Wei, Bingzhe Wu, Baoyuan Wu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Defenses in Adversarial Machine Learning: A Survey.

Baoyuan Wu, Shaokui Wei, Mingli Zhu, Meixi Zheng, Zihao Zhu, Mingda Zhang, Hongrui Chen, Danni Yuan, Li Liu, Qingshan Liu

CoRR, 2023

VDC: Versatile Data Cleanser for Detecting Dirty Samples via Visual-Linguistic Inconsistency.

Zihao Zhu, Mingda Zhang, Shaokui Wei, Bingzhe Wu, Baoyuan Wu

CoRR, 2023

Boosting Backdoor Attack with A Learnable Poisoning Sample Selection Strategy.

Zihao Zhu, Mingda Zhang, Shaokui Wei, Li Shen, Yanbo Fan, Baoyuan Wu

CoRR, 2023

Neural Polarizer: A Lightweight and Effective Backdoor Defense via Purifying Poisoned Features.

Mingli Zhu, Shaokui Wei, Hongyuan Zha, Baoyuan Wu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared Adversarial Examples.

Shaokui Wei, Mingda Zhang, Hongyuan Zha, Baoyuan Wu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Enhancing Fine-Tuning based Backdoor Defense with Sharpness-Aware Minimization.

Mingli Zhu, Shaokui Wei, Li Shen, Yanbo Fan, Baoyuan Wu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Mean Parity Fair Regression in RKHS.

Shaokui Wei, Jiayin Liu, Bing Li, Hongyuan Zha

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

BackdoorBench: A Comprehensive Benchmark of Backdoor Learning.

Baoyuan Wu, Hongrui Chen, Mingda Zhang, Zihao Zhu, Shaokui Wei, Danni Yuan, Chao Shen, Hongyuan Zha

CoRR, 2022

BackdoorBench: A Comprehensive Benchmark of Backdoor Learning.

Baoyuan Wu, Hongrui Chen, Mingda Zhang, Zihao Zhu, Shaokui Wei, Danni Yuan, Chao Shen

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022