Beware of Your Screen: Anonymous Fingerprinting of Device Screens for Off-line Payment Protection. - Zhe Zhou 001; Di Tang 001; Wenhao Wang 001; Xiaofeng Wang 006; Zhou Li 001; Kehuan Zhang (ACSAC, 2018)

Face Flashing: a Secure Liveness Detection Protocol based on Light Reflections. - Di Tang 001; Zhe Zhou 001; Yinqian Zhang; Kehuan Zhang (NDSS, 2018)

Query-Free Attacks on Industry-Grade Face Recognition Systems under Resource Constraints. - Di Tang 001; XiaoFeng Wang 001; Kehuan Zhang (CoRR, 2018)

Invisible Mask: Practical Attacks on Face Recognition with Infrared. - Zhe Zhou 001; Di Tang 001; Xiaofeng Wang 006; Weili Han; Xiangyu Liu; Kehuan Zhang (CoRR, 2018)

Stealthy Porn: Understanding Real-World Adversarial Images for Illicit Online Promotion. - Kan Yuan; Di Tang 001; Xiaojing Liao; XiaoFeng Wang 001; Xuan Feng; Yi Chen 024; Menghan Sun; Haoran Lu; Kehuan Zhang (IEEE Symposium on Security and Privacy, 2019)

Your Smart Home Can't Keep a Secret: Towards Automated Fingerprinting of IoT Traffic with Neural Networks. - Shuaike Dong; Zhou Li 001; Di Tang 001; Jiongyi Chen; Menghan Sun; Kehuan Zhang (CoRR, 2019)

Your Smart Home Can't Keep a Secret: Towards Automated Fingerprinting of IoT Traffic. - Shuaike Dong; Zhou Li 001; Di Tang 001; Jiongyi Chen; Menghan Sun; Kehuan Zhang (AsiaCCS, 2020)

Understanding the Brains and Brawn of Illicit Streaming App. - Kong Huang; Ke Zhang; Jiongyi Chen; Menghan Sun; Wei Sun; Di Tang 001; Kehuan Zhang (ICDF2C, 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)

Demon in the Variant: Statistical Analysis of DNNs for Robust Backdoor Contamination Detection. - Di Tang 001; XiaoFeng Wang 001; Haixu Tang; Kehuan Zhang (USENIX Security Symposium, 2021)

Order-Disorder: Imitation Adversarial Attacks for Black-box Neural Ranking Models. - Jiawei Liu 002; Yangyang Kang; Di Tang 001; Kaisong Song; Changlong Sun; Xiaofeng Wang 006; Wei Lu 019; Xiaozhong Liu (CCS, 2022)

Seeing the Forest for the Trees: Understanding Security Hazards in the 3GPP Ecosystem through Intelligent Analysis on Change Requests. - Yi Chen 024; Di Tang 001; Yepeng Yao; Mingming Zha 001; XiaoFeng Wang 001; Xiaozhong Liu; Haixu Tang; Dongfang Zhao 010 (USENIX Security Symposium, 2022)

Understanding Impacts of Task Similarity on Backdoor Attack and Detection. - Di Tang 001; Rui Zhu; XiaoFeng Wang 001; Haixu Tang; Yi Chen 024 (CoRR, 2022)

Selective Amnesia: On Efficient, High-Fidelity and Blind Suppression of Backdoor Effects in Trojaned Machine Learning Models. - Rui Zhu; Di Tang 001; Siyuan Tang; Xiaofeng Wang 006; Haixu Tang (SP, 2023)

Sherlock on Specs: Building LTE Conformance Tests through Automated Reasoning. - Yi Chen 024; Di Tang 001; Yepeng Yao; Mingming Zha 001; XiaoFeng Wang 001; Xiaozhong Liu; Haixu Tang; Baoxu Liu (USENIX Security Symposium, 2023)

HOMESPY: The Invisible Sniffer of Infrared Remote Control of Smart TVs. - Kong Huang; Yutong Zhou; Ke Zhang; Jiacen Xu; Jiongyi Chen; Di Tang 001; Kehuan Zhang (USENIX Security Symposium, 2023)

Gradient Shaping: Enhancing Backdoor Attack Against Reverse Engineering. - Rui Zhu; Di Tang 001; Siyuan Tang; Guanhong Tao 001; Shiqing Ma; XiaoFeng Wang 001; Haixu Tang (CoRR, 2023)

Gradient Shaping: Enhancing Backdoor Attack Against Reverse Engineering. - Rui Zhu; Di Tang 001; Siyuan Tang; Zihao Wang; Guanhong Tao 001; Shiqing Ma; XiaoFeng Wang 001; Haixu Tang (NDSS, 2024)

Tossing in the Dark: Practical Bit-Flipping on Gray-box Deep Neural Networks for Runtime Trojan Injection. - Zihao Wang; Di Tang 001; XiaoFeng Wang 001; Wei He; Zhaoyang Geng; Wenhao Wang 001 (USENIX Security Symposium, 2024)

Racing on the Negative Force: Efficient Vulnerability Root-Cause Analysis through Reinforcement Learning on Counterexamples. - Dandan Xu; Di Tang 001; Yi Chen 024; XiaoFeng Wang 001; Kai Chen 012; Haixu Tang; Longxing Li (USENIX Security Symposium, 2024)

LLM-Enhanced Software Patch Localization. - Jinhong Yu; Yi Chen 024; Di Tang 001; Xiaozhong Liu; XiaoFeng Wang 001; Chen Wu; Haixu Tang (CoRR, 2024)

One Surrogate to Fool Them All: Universal, Transferable, and Targeted Adversarial Attacks with CLIP. - Binyan Xu; Xilin Dai; Di Tang 001; Kehuan Zhang (CoRR, 2025)

CLIP-Guided Backdoor Defense through Entropy-Based Poisoned Dataset Separation. - Binyan Xu; Fan Yang; Xilin Dai; Di Tang 001; Kehuan Zhang (CoRR, 2025)