Publications

Towards Mitigating Architecture Overfitting in Dataset Distillation

Xuyang Zhong, Chen Liu.

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

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

Fast Adversarial Training with Adaptive Step Size

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

IEEE Transactions on Image Processing 2023.

Towards Stable and Efficient Adversarial Training against $l_1$ Bounded Adversarial Attacks

Yulun Jiang^*, Chen Liu^*, Zhichao Huang, Mathieu Salzmann, Sabine Süsstrunk

International Conference on Machine Learning (ICML) 2023

Robust Binary Models by Pruning Randomly-initialized Networks

Chen Liu^*, Ziqi Zhao^*, Sabine Süsstrunk, Mathieu Salzmann.

Advances in Neural Information Processing Systems (NeurIPS) 2022

Training Provably Robust Models by Polyhedral Envelope Regularization

Chen Liu, Mathieu Salzmann, Sabine Süsstrunk.

IEEE Transactions on Neural Networks and Learning Systems 2021.

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

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

Advances in Neural Information Processing Systems (NeurIPS) 2020.

On Certifying Non-uniform Bounds against Adversarial Attacks

Chen Liu, Ryota Tomioka, Volkan Cevher.

International Conference on Machine Learning (ICML) 2019.

Finding Mixed Nash Equilibria of Generative Adversarial Networks

Ya-Ping Hsieh, Chen Liu, Volkan Cevher.

International Conference on Machine Learning (ICML) 2019.

Consistent 3D Rendering in Medical Imaging

Chen Liu, Shun Miao, Kaloian Petkov, Sandra Sudarsky, Daphne Yu, Tommaso Mansi.

European Patent No. 18160956.1