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, and (4) Big Data Mining and Analysis.
05/11/2023 - Our paper "Detecting Union Type Confusion in Component Object Model" was accepted by USENIX Security 2023. Congrats to Yuxing!
05/09/2023 - Our paper "One Bad Apple Spoils the Barrel: Understanding the Security Risks Introduced by Third-Party Components in IoT Firmware" was accepted by IEEE Transactions on Dependable and Secure Computing (TDSC). Congrats to Binbin!
05/03/2023 - Our paper "On the Security Risks of Knowledge Graph Reasoning" was accepted by USENIX Security 2023. Congrats to Zhaohan!
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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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