Publications

Publications by categories in reversed chronological order. * denotes equal contribution.

2023


  1. CVPR’23
    Understanding and Improving Visual Prompting: A Label-Mapping Perspective
    Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zhang, and Sijia Liu
    In The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2023 2023
  2. ICLR’23
    TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization
    Bairu Hou, Jinghan Jia*, Yihua Zhang*, Guanhua Zhang*, Yang Zhang, Sijia Liu, and Shiyu Chang
    In Eleventh International Conference on Learning Representations 2023
  3. ICLR’23
    What Is Missing in IRM Training and Evaluation? Challenges and Solutions
    Yihua Zhang, Pranay Sharma, Parikshit Ram, Mingyi Hong, Kush Varshney, and Sijia Liu
    In Eleventh International Conference on Learning Representations 2023

2022


  1. NeurIPS’22
    Advancing Model Pruning via Bi-level Optimization
    Yihua Zhang*, Yuguang Yao*, Parikshit Ram, Pu Zhao, Tianlong Chen, Mingyi Hong, Yanzhi Wang, and Sijia Liu
    In Thirty-sixth Conference on Neural Information Processing Systems 2022
  2. NeurIPS’22
    Fairness Reprogramming
    Guanhua Zhang*, Yihua Zhang*, Yang Zhang, Wenqi Fan, Qing Li, Sijia Liu, and Shiyu Chang
    In Thirty-sixth Conference on Neural Information Processing Systems 2022
  3. UAI’22
    Distributed Adversarial Training to Robustify Deep Neural Networks at Scale
    Gaoyuan Zhang*, Songtao Lu*, Yihua Zhang, Xiangyi Chen, Pin-Yu Chen, Quanfu Fan, Lee Martie, Lior Horesh, Mingyi Hong, and Sijia Liu
    In Uncertainty in Artificial Intelligence 2022
  4. ICML’22
    Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization
    Yihua Zhang*, Guanhua Zhang*, Prashant Khanduri, Mingyi Hong, Shiyu Chang, and Sijia Liu
    In Proceedings of the 39th International Conference on Machine Learning 2022
  5. CVPR’22
    Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free
    Tianlong Chen*, Zhenyu Zhang*, Yihua Zhang*, Shiyu Chang, Sijia Liu, and Zhangyang Wang
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2022