Publications

Efficient Availability Attacks against Supervised and Contrastive Learning Simultaneously. Conference
Yihan Wang, Yifan Zhu, Xiao-Shan Gao.
Proceedings of the 38th Conference on Neural Information Processing Systems (NeurIPS 2024).
Data-Dependent Stability Analysis of Adversarial Training. Journal
Yihan Wang, Shuang Liu, Xiao-Shan Gao.
Neural Networks.
Alignment Calibration: Machine Unlearning for Contrastive Learning under Auditing. Workshop (Oral)

Yihan Wang*, Yiwei Lu*, Guojun Zhang, Franziska Boenisch, Adam Dziedzic, Yaoliang Yu, Xiao-Shan Gao.

ICML 2024 Next Generation of AI Safety Workshop.
On the Robustness of Neural Networks Quantization against Data Poisoning Attacks. Workshop

Yiwei Lu, Yihan Wang, Guojun Zhang, Yaoliang Yu.

ICML 2024 Next Generation of AI Safety Workshop.
Game-Theoretic Unlearnable Example Generator. Conference
Shuang Liu, Yihan Wang, Xiao-Shan Gao.
Proceedings of the 38th Annual AAAI Conference on Artificial Intelligence (AAAI 2024).
Adversarial Parameter Attack on Deep Neural Networks. Conference

Lijia Yu, Yihan Wang, Xiao-Shan Gao.

Proceedings of the 40th International Conference on Machine Learning (ICML 2023).
Restore Translation Using Equivariant Neural Networks. Conference
Yihan Wang, Lijia Yu, Xiao-Shan Gao.
Proceedings of the 30th International Conference on Neural Information Processing (ICONIP 2023).
Mitigating Robust Overfitting in Wasserstein Distributionally Robust Optimization. Preprint
Shuang Liu, Yihan Wang, Xiao-Shan Gao.