Shaokui Wei

Orcid: 0009-0007-7021-5145

According to our database1, Shaokui Wei authored at least 19 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Defenses in Adversarial Machine Learning: A Systematic Survey From the Lifecycle Perspective.
IEEE Trans. Pattern Anal. Mach. Intell., January, 2026

WPDA: frequency-based backdoor attack with wavelet packet decomposition.
Neural Networks, 2026

Boosting backdoor attack with a learnable poisoning sample selection strategy.
Neurocomputing, 2026

2025
BackdoorBench: A Comprehensive Benchmark and Analysis of Backdoor Learning.
Int. J. Comput. Vis., August, 2025

Class-Conditional Neural Polarizer: A Lightweight and Effective Backdoor Defense by Purifying Poisoned Features.
CoRR, February, 2025

Revisiting the Auxiliary Data in Backdoor Purification.
CoRR, February, 2025

Activation Gradient based Poisoned Sample Detection Against Backdoor Attacks.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Backdoor Mitigation by Distance-Driven Detoxification.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024
Mitigating Backdoor Attack by Injecting Proactive Defensive Backdoor.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Unveiling and Mitigating Backdoor Vulnerabilities based on Unlearning Weight Changes and Backdoor Activeness.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

VDC: Versatile Data Cleanser based on Visual-Linguistic Inconsistency by Multimodal Large Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Defenses in Adversarial Machine Learning: A Survey.
CoRR, 2023

VDC: Versatile Data Cleanser for Detecting Dirty Samples via Visual-Linguistic Inconsistency.
CoRR, 2023

Neural Polarizer: A Lightweight and Effective Backdoor Defense via Purifying Poisoned Features.
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.
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.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Mean Parity Fair Regression in RKHS.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
BackdoorBench: A Comprehensive Benchmark of Backdoor Learning.
CoRR, 2022

BackdoorBench: A Comprehensive Benchmark of Backdoor Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022


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