Prof. LIU Chen (劉晨)

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Research Output

  1. 2024
  2. Published

    Towards Efficient Training and Evaluation of Robust Models against l0 Bounded Adversarial Perturbations

    Zhong, X., Huang, Y. & Liu, C., 2024, Proceedings of the 41st International Conference on Machine Learning.

    Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

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  3. 2023

  4. Training Provably Robust Models by Polyhedral Envelope Regularization

    Liu, C., Salzmann, M. & Süsstrunk, S., Jun 2023, In: IEEE Transactions on Neural Networks and Learning Systems. 34, 6, p. 3146-3160

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

    Scopus citations: 3
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  5. Published

    Fast adversarial training with adaptive step size

    Huang, Z., Fan, Y., Liu, C., Zhang, W., Zhang, Y., Salzmann, M., Süsstrunk, S., & 1 othersWang, J., 2023, In: IEEE Transactions on Image Processing. 32, p. 6102-6114 13 p.

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

    Scopus citations: 3
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  6. Published

    Towards Stable and Efficient Adversarial Training against l1 Bounded Adversarial Attacks

    Jiang, Y., Liu, C., Huang, Z., Salzmann, M. & Süsstrunk, S., 2023, Proceedings of the 40th International Conference on Machine Learning. Krause, A., Brunskill, E., Cho, K., Engelhardt, B., Sabato, S. & Scarlett, J. (eds.). p. 15089-15104 16 p. 615. (Proceedings of Machine Learning Research; vol. 202).

    Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

    Scopus citations: 3
    Check@CityULib
  7. 2022
  8. Published

    Robust Binary Models by Pruning Randomly-initialized Networks

    Liu, C., Zhao, Z., Süsstrunk, S. & Salzmann, M., Nov 2022, Thirty-Sixth Conference on Neural Information Processing Systems, NeurIPS 2022. Neural Information Processing Systems (NeurIPS), 15 p. (Advances in Neural Information Processing Systems; vol. 35).

    Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

    Check@CityULib

  9. Towards Verifiable, Generalizable and Efficient Robust Deep Neural Networks

    LIU, C., 2022, Lausanne: Ecole Polytechnique Federale de Lausanne (EPFL).

    Research output: Faculty's Theses › Doctoral thesis

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  10. 2020

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

    Liu, C., Salzmann, M., Lin, T., Tomioka, R. & Süsstrunk, S., Dec 2020, NeurIPS Proceedings: Advances in Neural Information Processing Systems 33 (NeurIPS 2020). Larochelle, H., Ranzato, M., Hadsell, R., Balcan, M. & Lin, H. (eds.). Vol. 33.

    Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

    Scopus citations: 35
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  12. 2019

  13. Finding Mixed Nash Equilibria of Generative Adversarial Networks

    Hsieh, Y., Liu, C. & Cevher, V., Jun 2019, 36th International Conference on Machine Learning (ICML 2019) . Chaudhur, K. & Salakhutdinov, R. (eds.). International Machine Learning Society (IMLS), p. 4972-5000 (Proceedings of Machine Learning Research; vol. 97).

    Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

    Scopus citations: 14
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  14. On Certifying Non-uniform Bound against Adversarial Attacks

    Liu, C., Tomioka, R. & Cevher, V., Jun 2019, Proceedings of the 36th International Conference on Machine Learning, ICML 2019. Chaudhuri, K. & Salakhutdinov, R. (eds.). International Conference on Machine Learning (ICML), p. 4072-4081 (Proceedings of Machine Learning Research; vol. 97).

    Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

    Scopus citations: 10
    Check@CityULib