Chen Liu

According to our database, Chen Liu authored at least 9 papers between 2019 and 2023.

Collaborative distances:

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

2023

Training Provably Robust Models by Polyhedral Envelope Regularization.

Chen Liu, Mathieu Salzmann, Sabine Süsstrunk

IEEE Trans. Neural Networks Learn. Syst., June, 2023

Fast Adversarial Training With Adaptive Step Size.

Zhichao Huang, Yanbo Fan, Chen Liu, Weizhong Zhang, Yong Zhang, Mathieu Salzmann, Sabine Süsstrunk, Jue Wang

IEEE Trans. Image Process., 2023

2022

Robust Binary Models by Pruning Randomly-initialized Networks.

Chen Liu, Ziqi Zhao, Sabine Süsstrunk, Mathieu Salzmann

CoRR, 2022

2021

On the Impact of Hard Adversarial Instances on Overfitting in Adversarial Training.

Chen Liu, Zhichao Huang, Mathieu Salzmann, Tong Zhang, Sabine Süsstrunk

CoRR, 2021

2020

On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them.

Chen Liu, Mathieu Salzmann, Tao Lin, Ryota Tomioka, Sabine Süsstrunk

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

On Certifying Robust Models by Polyhedral Envelope.

Chen Liu, Mathieu Salzmann, Sabine Süsstrunk

CoRR, 2019

On Certifying Non-uniform Bound against Adversarial Attacks.

Chen Liu, Ryota Tomioka, Volkan Cevher

CoRR, 2019

On Certifying Non-Uniform Bounds against Adversarial Attacks.

Chen Liu, Ryota Tomioka, Volkan Cevher

Proceedings of the 36th International Conference on Machine Learning, 2019

Finding Mixed Nash Equilibria of Generative Adversarial Networks.

Ya-Ping Hsieh, Chen Liu, Volkan Cevher

Proceedings of the 36th International Conference on Machine Learning, 2019