Zhongzhu Chen

According to our database, Zhongzhu Chen authored at least 9 papers between 2021 and 2024.

Collaborative distances:

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

2024

Technical Note - Masking Anstreicher's linx Bound for Improved Entropy Bounds.

Zhongzhu Chen, Marcia Fampa, Jon Lee

Oper. Res., 2024

Consistency Purification: Effective and Efficient Diffusion Purification towards Certified Robustness.

Yiquan Li, Zhongzhu Chen, Kun Jin, Jiongxiao Wang, Bo Li, Chaowei Xiao

CoRR, 2024

Performative Federated Learning: A Solution to Model-Dependent and Heterogeneous Distribution Shifts.

Kun Jin, Tongxin Yin, Zhongzhu Chen, Zeyu Sun, Xueru Zhang, Yang Liu, Mingyan Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

On Computing with Some Convex Relaxations for the Maximum-Entropy Sampling Problem.

Zhongzhu Chen, Marcia Fampa, Jon Lee

INFORMS J. Comput., 2023

DiffSmooth: Certifiably Robust Learning via Diffusion Models and Local Smoothing.

Jiawei Zhang, Zhongzhu Chen, Huan Zhang, Chaowei Xiao, Bo Li

Proceedings of the 32nd USENIX Security Symposium, 2023

DensePure: Understanding Diffusion Models for Adversarial Robustness.

Chaowei Xiao, Zhongzhu Chen, Kun Jin, Jiongxiao Wang, Weili Nie, Mingyan Liu, Anima Anandkumar, Bo Li, Dawn Song

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Generalized Scaling for the Constrained Maximum-Entropy Sampling Problem.

Zhongzhu Chen, Marcia Fampa, Jon Lee

Proceedings of the SIAM Conference on Applied and Computational Discrete Algorithms, 2023

2022

DensePure: Understanding Diffusion Models towards Adversarial Robustness.

Chaowei Xiao, Zhongzhu Chen, Kun Jin, Jiongxiao Wang, Weili Nie, Mingyan Liu, Anima Anandkumar, Bo Li, Dawn Song

CoRR, 2022

2021

Mixing convex-optimization bounds for maximum-entropy sampling.

Zhongzhu Chen, Marcia Fampa, Amélie Lambert, Jon Lee

Math. Program., 2021