Portfolio item number 1
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portfolio
Portfolio item number 2
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publications
Paper Title Number 1
Published in Journal 1, 2009
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1).
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Order-Disorder: Imitation Adversarial Attacks for Black-box Neural Ranking Models
Published in In the proceedings of Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022
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Recommended citation: 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.
Seeing the Forest for the Trees: Understanding Security Hazards in the \(3GPP\) Ecosystem through Intelligent Analysis on Change Requests
Published in In the proceedings of 31st USENIX Security Symposium (USENIX Security 22), 2022
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Recommended citation: 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.
Selective Amnesia: On Efficient, High-Fidelity and Blind Suppression of Backdoor Effects in Trojaned Machine Learning Models
Published in In the proceedings of 2022 IEEE Symposium on Security and Privacy (SP), 2022
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Recommended citation: 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.
Gradient Shaping: Enhancing Backdoor Attack against Reverse Engineering
Published in In the proceedings of Network and Distributed Systems Security (NDSS) Symposium 2024, 2023
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Recommended citation: 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.
\(HOMESPY\): The Invisible Sniffer of Infrared Remote Control of Smart \(TVs\)
Published in In the proceedings of 32nd USENIX Security Symposium (USENIX Security 23), 2023
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Recommended citation: 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.
Sherlock on Specs: Building LTE Conformance Tests through Automated Reasoning
Published in In the proceedings of 32th USENIX Security Symposium (USENIX Security 23), 2023
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Recommended citation: 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.
Racing on the Negative Force: Efficient Vulnerability Root-Cause Analysis through Reinforcement Learning on Counterexamples
Published in In the proceedings of 33th USENIX Security Symposium (USENIX Security 24), 2024
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Recommended citation: 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.
Tossing in the Dark: Practical Bit-Flipping on Gray-box Deep Neural Networks for Runtime Trojan Injection
Published in In the proceedings of 33th USENIX Security Symposium (USENIX Security 24), 2024
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Recommended citation: 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.
talks
Talk 1 on Relevant Topic in Your Field
Published:
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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