关注
Zhongzhu Chen
Zhongzhu Chen
Amazon.com, Inc.
在 umich.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
132023
Mixing convex-optimization bounds for maximum-entropy sampling
Z Chen, M Fampa, A Lambert, J Lee
Mathematical Programming, 1-30, 2021
112021
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
72023
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
32024
Generalized scaling for the constrained maximum-entropy sampling problem
Z Chen, M Fampa, J Lee
Mathematical Programming, 1-40, 2024
12024
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
系统目前无法执行此操作,请稍后再试。
文章 1–9