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.
12/14/2024 - 恭喜林型双、林瑞潇等同学获得“CCF大学生区块链技术与创新应用竞赛”（2024 CCF CBCC）特等奖！
12/10/2024 - Our paper "Enhancing Adversarial Transferability with Adversarial Weight Tuning" was accepted by AAAI 2025. Congrats to Jiahao!
12/10/2024 - Our paper "Uncovering LLM-Generated Code: A Zero-Shot Synthetic Code Detector via Code Rewriting" was accepted by AAAI 2025. Congrats to Tong!
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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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