The
Network SystEm
Security & PrivAcy (NESA) Research Lab, directed by Dr. Shouling Ji, works at the intersection of AI, network systems, data
analytics, and information security fields. The lab seeks to develop theories, techniques, and systems to enable a more
secure and efficient network infrastructure, with computer systems that are more accountable and less vulnerable to
attacks and abuse.
Our current research focuses on four areas: (1) Data-Driven Security, (2) AI and Security, (3) Software and System Security, and (4) Big Data Mining and Analysis.
01/23/2025 - Our paper "Pretender: Universal Active Defense against Diffusion Finetuning Attacks" was accepted by USENIX Security 2025. Congrats to Zekun!
01/23/2025 - Our paper "Waltzz: WebAssembly Runtime Fuzzing with Stack-Invariant Transformation" was accepted by USENIX Security 2025. Congrats to Lingming!
01/22/2025 - Our paper "Watch the Watchers! On the Security Risks of Robustness-Enhancing Diffusion Models" was accepted by USENIX Security 2025. Congrats to Changjiang!
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NESA Lab looks for highly motivated undergrads, grads, and postdocs to join the group. If you are interested in our research, please come to visit our lab and/or send us your resume.
Cyber Threat/Crime Mining and Analysis; Fraud Detection and Analysis; Medical Application/Data Security and Privacy; Password Security; and CAPTCHA Security.
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Adversarial Learning; Machine Learning Security and Privacy; AI-aided Vulnerability Mining; Smart Fuzzing; and Secure Multi-Party Computing and Learning.
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Graph Privacy; Anonymization and De-anonymization; Differential Privacy; and Web Privacy..
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Social Network Computing and Analytics and Graph and Network Embedding.
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