Robustness of Deep Learning Models

Chong You*, Zhihui Zhu*, Qing Qu, Yi Ma (2020). Robust Recovery via Implicit Bias of Discrepant Learning Rates for Double Over-parameterization. Neural Information Processing Systems (NeurIPS’20), 2020. (spotlight, top 4%)
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Lijun Ding*, Liwei Jiang*, Yudong Chen, Qing Qu, Zhihui Zhu (2021). Rank Overspecified Robust Matrix Recovery: Subgradient Method and Exact Recovery. Neural Information Processing Systems (NeurIPS’21), 2021.
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Sheng Liu*, Xiao Li*, Yuexiang Zhai, Chong You, Zhihui Zhu, Carlos Fernandez-Granda, Qing Qu (2021). Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training. Neural Information Processing Systems (NeurIPS’21), 2021.
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Sheng Liu, Zhihui Zhu, Qing Qu, Chong You (2022). Robust Training under Label Noise by Over-parameterization. International Conference on Machine Learning (ICML’22), 2022.
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Ismail Alkhouri*, Shijun Liang*, Rongrong Wang, Qing Qu, Saiprasad Ravishankar (2023). Diffusion-based Adversarial Purification for Robust Deep MRI Reconstruction. ArXiv Preprint arXiv:2309.05794, 2023. Preprint – PDF – BibTex