A Machine Learning Approach to Prevent Malicious Calls over Telephony Networks. - Huichen Li; Xiaojun Xu; Chang Liu 021; Teng Ren; Kun Wu; Xuezhi Cao; Weinan Zhang 001; Yong Yu 001; Dawn Song (IEEE Symposium on Security and Privacy, 2018)

Data Poisoning Attack against Unsupervised Node Embedding Methods. - Mingjie Sun; Jian Tang 008; Huichen Li; Bo Li 026; Chaowei Xiao; Yao Chen; Dawn Song (CoRR, 2018)

QEBA: Query-Efficient Boundary-Based Blackbox Attack. - Huichen Li; Xiaojun Xu; Xiaolu Zhang; Shuang Yang; Bo Li 026 (CVPR, 2020)

Nonlinear Projection Based Gradient Estimation for Query Efficient Blackbox Attacks. - Huichen Li; Linyi Li 001; Xiaojun Xu; Xiaolu Zhang; Shuang Yang; Bo Li 026 (AISTATS, 2021)

Exploring Adversarial Robustness of Multi-sensor Perception Systems in Self Driving. - James Tu; Huichen Li; Xinchen Yan; Mengye Ren; Yun Chen 014; Ming Liang; Eilyan Bitar; Ersin Yumer; Raquel Urtasun (CoRL, 2021)

Progressive-Scale Boundary Blackbox Attack via Projective Gradient Estimation. - Jiawei Zhang 002; Linyi Li 001; Huichen Li; Xiaolu Zhang; Shuang Yang; Bo Li 026 (ICML, 2021)

The Trojan Detection Challenge. - Mantas Mazeika; Dan Hendrycks; Huichen Li; Xiaojun Xu; Sidney Q. Hough; Andy Zou; Arezoo Rajabi; Qi Yao; Zihao Wang; Jian Tian; Yao Tang; Di Tang 001; et al. (NeurIPS (Competition and Demos), 2021)

Detecting AI Trojans Using Meta Neural Analysis. - Xiaojun Xu; Qi Wang 017; Huichen Li; Nikita Borisov; Carl A. Gunter; Bo Li 026 (SP, 2021)

Compromised ACC vehicles can degrade current mixed-autonomy traffic performance while remaining stealthy against detection. - George Gunter; Huichen Li; Avesta Hojjati; Matthew Nice; Matthew R. Bunting; Carl A. Gunter; Bo Li 026; Jonathan Sprinkle; Daniel B. Work (CoRR, 2021)