Densepure: Understanding diffusion models for adversarial robustness C Xiao, Z Chen, K Jin, J Wang, W Nie, M Liu, A Anandkumar, B Li, D Song The Eleventh International Conference on Learning Representations (ICLR 2023), 2023 | 47* | 2023 |
{DiffSmooth}: Certifiably robust learning via diffusion models and local smoothing J Zhang, Z Chen, H Zhang, C Xiao, B Li 32nd USENIX Security Symposium (USENIX Security 23), 4787-4804, 2023 | 13 | 2023 |
Mixing convex-optimization bounds for maximum-entropy sampling Z Chen, M Fampa, A Lambert, J Lee Mathematical Programming, 1-30, 2021 | 11 | 2021 |
On computing with some convex relaxations for the maximum-entropy sampling problem Z Chen, M Fampa, J Lee INFORMS Journal on Computing 35 (2), 368-385, 2023 | 7 | 2023 |
Performative Federated Learning: A Solution to Model-Dependent and Heterogeneous Distribution Shifts ML Kun Jin, Tongxin Yin, Zhongzhu Chen, Zeyu Sun, Xueru Zhang, Yang Liu Proceedings of the AAAI Conference on Artificial Intelligence, 38 (AAAI 2024), 2023 | 5* | 2023 |
Masking Anstreicher’s linx bound for improved entropy bounds Z Chen, M Fampa, J Lee Operations Research 72 (2), 591-603, 2024 | 3 | 2024 |
Generalized scaling for the constrained maximum-entropy sampling problem Z Chen, M Fampa, J Lee Mathematical Programming, 1-40, 2024 | 1 | 2024 |
Consistency Purification: Effective and Efficient Diffusion Purification towards Certified Robustness Y Li, Z Chen, K Jin, J Wang, B Li, C Xiao arXiv preprint arXiv:2407.00623, 2024 | | 2024 |
On Algorithmic Advances for Maximum-Entropy Sampling Z Chen | | 2024 |