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Publications
In reverse chronological order. * indicates equal contribution.
Robust Binary Models by Pruning Randomly-initialized Networks
Chen Liu*, Ziqi Zhao*, Sabine Süsstrunk, Mathieu Salzmann.
arXiv preprint: 2202.01341
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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.
arXiv preprint: 2112.07324
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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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