Zihao Wang, Di Tang, XiaoFeng Wang, Wei He, Zhaoyang Geng, Wenhao Wang, "Tossing in the Dark: Practical Bit-Flipping on Gray-box Deep Neural Networks for Runtime Trojan Injection." In the proceedings of 33th USENIX Security Symposium (USENIX Security 24), 2024.
Dandan Xu, Di Tang, Yi Chen, XiaoFeng Wang, Kai Chen, Haixu Tang, Longxing Li, "Racing on the Negative Force: Efficient Vulnerability Root-Cause Analysis through Reinforcement Learning on Counterexamples." In the proceedings of 33th USENIX Security Symposium (USENIX Security 24), 2024.
Yi Chen, Di Tang, Yepeng Yao, Mingming Zha, XiaoFeng Wang, Xiaozhong Liu, Haixu Tang, Baoxu Liu, "Sherlock on Specs: Building LTE Conformance Tests through Automated Reasoning." In the proceedings of 32th USENIX Security Symposium (USENIX Security 23), 2023.
Kong Huang, YuTong Zhou, Ke Zhang, Jiacen Xu, Jiongyi Chen, Di Tang, Kehuan Zhang, "$$HOMESPY$$: The Invisible Sniffer of Infrared Remote Control of Smart $$TVs$$." In the proceedings of 32nd USENIX Security Symposium (USENIX Security 23), 2023.
Rui Zhu, Di Tang, Siyuan Tang, Guanhong Tao, Shiqing Ma, XiaoFeng Wang, Haixu Tang, "Gradient Shaping: Enhancing Backdoor Attack against Reverse Engineering." In the proceedings of Network and Distributed Systems Security (NDSS) Symposium 2024, 2023.
Di Tang, Rui Zhu, Siyuan Tang, XiaoFeng Wang, Haixu Tang, "Selective Amnesia: On Efficient, High-Fidelity and Blind Suppression of Backdoor Effects in Trojaned Machine Learning Models." In the proceedings of 2022 IEEE Symposium on Security and Privacy (SP), 2022.
Yi Chen, Di Tang, Yepeng Yao, Mingming Zha, XiaoFeng Wang, Xiaozhong Liu, Haixu Tang, Dongfang Zhao, "Seeing the Forest for the Trees: Understanding Security Hazards in the $$3GPP$$ Ecosystem through Intelligent Analysis on Change Requests." In the proceedings of 31st USENIX Security Symposium (USENIX Security 22), 2022.
Jiawei Liu, Yangyang Kang, Di Tang, Kaisong Song, Changlong Sun, Xiaofeng Wang, Wei Lu, Xiaozhong Liu, "Order-Disorder: Imitation Adversarial Attacks for Black-box Neural Ranking Models." In the proceedings of Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022.
Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1).
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA
Talk at London School of Testing, London, UK
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley CA, USA
Talk at UC San Francisco, Department of Testing, San Francisco, California