About Her
Wanning Ding is a Ph.D. student in the FSSL Lab of Computer Science at Syracuse University, under the guidance of Dr. Yuzhe Tang. She earned her B.E. from East China Normal University and her M.S. in Computer Science from Syracuse University. Her research centers on system security and vulnerability detection.
Wanning has published papers in top-tier conferences such as IEEE S&P (1st author) and USENIX Security, demonstrating expertise in building secure, scalable systems. She is particularly interested in leveraging machine learning, LLM, and formal methods to enhance security and performance. Actively seeking internship opportunities for 2025, she aims to expand her expertise in security research and contribute to cutting-edge projects in the industry.
News
March 2025: Won 1st Place at the ECS Research Day for presenting my blockchain security research.
March 2025: Accepted an internship offer from Chainlink Labs for Summer 2025. Looking forward to contributing to real-world blockchain security challenges!
Publications
IEEE S&P'25: “Asymmetric Mempool DoS Security: Formal Definitions and Provable Secure Designs”, AR=14.2%, Wanning Ding, Yuzhe Tang, Yibo Wang.
USENIX Security'24: “Understanding Ethereum Mempool Security under Asymmetric DoS by Symbolized Stateful Fuzzing”, AR=14.5%, Yibo Wang, Yuzhe Tang, Kai Li, Wanning Ding, Zhihua Yang. [pdf],[slides]
Euro S&P'23: “Understanding the Security Risks of Decentralized Exchanges by Uncovering Unfair Trades in the Wild”, AR=35.7%,Jiaqi Chen,Yibo Wang,Yuxuan Zhou,Wanning Ding , Yuzhe Tang, X. Wang,Kai Li. [preprint], [slides],[2-page slides]
Service
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