Tong, Liang

5 publications

NeurIPS 2023 Hierarchical Gaussian Mixture Based Task Generative Model for Robust Meta-Learning Yizhou Zhang, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Liang Tong, Haifeng Chen, Yan Liu

CVPR 2021 FaceSec: A Fine-Grained Robustness Evaluation Framework for Face Recognition Systems Liang Tong, Zhengzhang Chen, Jingchao Ni, Wei Cheng, Dongjin Song, Haifeng Chen, Yevgeniy Vorobeychik

ICLR 2020 Defending Against Physically Realizable Attacks on Image Classification Tong Wu, Liang Tong, Yevgeniy Vorobeychik

AAAI 2020 Finding Needles in a Moving Haystack: Prioritizing Alerts with Adversarial Reinforcement Learning Liang Tong, Aron Laszka, Chao Yan, Ning Zhang, Yevgeniy Vorobeychik

ICML 2018 Adversarial Regression with Multiple Learners Liang Tong, Sixie Yu, Scott Alfeld, Vorobeychik