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 five areas: (1) Data-Driven Security, (2) AI and Security, (3) Software and System Security, (4) CV and Multimedia Understanding, and (5) Big Data Mining and Analysis.
06/13/2022 - Our paper "State of the Art Survey of Open source Software Supply Chain Security" (开源软件供应链安全研究综述) was accepted by Journal of Software.
04/23/2022 - Our paper "''Is your explanation stable?'': A Robustness Evaluation Framework for Feature Attribution" was accepted by ACM CCS 2022. Congrats to Yuyou!
04/08/2022 - Our paper "SLIME: Program-sensitive Energy Allocation for Fuzzing" was accepted by ISSTA 2022. Congrats to Chenyang!
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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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