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.
07/05/2024 - Our paper "TREC: APT Tactic/Technique Recognition via Few-Shot Provenance Subgraph Learning" was accepted by ACM CCS 2024. Congrats to Mingqi!
07/04/2024 - Our paper "Tacoma: Enhanced Browser Fuzzing with Fine-Grained Semantic Alignment" was accepted by ISSTA 2024. Congrats to Jiashui!
06/05/2024 - Our paper "Detecting Kernel Memory Bugs through Inconsistent Memory Management Intention Inferences" was accepted by USENIX Security 2024. Congrats to Dinghao!
More ......
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.
read moreAdversarial Learning; Machine Learning Security and Privacy; AI-aided Vulnerability Mining; Smart Fuzzing; and Secure Multi-Party Computing and Learning.
read moreGraph Privacy; Anonymization and De-anonymization; Differential Privacy; and Web Privacy..
read moreSocial Network Computing and Analytics and Graph and Network Embedding.
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