 Distilling Robust and Non-Robust Features in Adversarial Examples by
Information BottleneckNeural Information Processing Systems (NeurIPS), 2022 |
 Resilient Machine Learning for Networked Cyber Physical Systems: A
Survey for Machine Learning Security to Securing Machine Learning for CPSIEEE Communications Surveys and Tutorials (COMST), 2021 |
 ConAML: Constrained Adversarial Machine Learning for Cyber-Physical
SystemsACM Asia Conference on Computer and Communications Security (AsiaCCS), 2020 |
