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Publications
In reverse chronological order. * indicates equal contribution.
Preprints
Towards Mitigating Architecture Overfitting in Dataset Distillation
Xuyang Zhong, Chen Liu.
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On the Impact of Hard Adversarial Instances on Overfitting in Adversarial Training
Chen Liu, Zhichao Huang, Mathieu Salzmann, Tong Zhang, Sabine Süsstrunk.
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Refereed Papers
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.
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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
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Robust Binary Models by Pruning Randomly-initialized Networks
Chen Liu*, Ziqi Zhao*, Sabine Süsstrunk, Mathieu Salzmann.
Advances in Neural Information Processing Systems (NeurIPS) 2022
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Training Provably Robust Models by Polyhedral Envelope Regularization
Chen Liu, Mathieu Salzmann, Sabine Süsstrunk.
IEEE Transactions on Neural Networks and Learning Systems 2021.
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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.
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On Certifying Non-uniform Bounds against Adversarial Attacks
Chen Liu, Ryota Tomioka, Volkan Cevher.
International Conference on Machine Learning (ICML) 2019.
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Finding Mixed Nash Equilibria of Generative Adversarial Networks
Ya-Ping Hsieh, Chen Liu, Volkan Cevher.
International Conference on Machine Learning (ICML) 2019.
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Consistent 3D Rendering in Medical Imaging
Chen Liu, Shun Miao, Kaloian Petkov, Sandra Sudarsky, Daphne Yu, Tommaso Mansi.
European Patent No. 18160956.1
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