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.
Pinned - NESA Lab 2024年9月入学有2个硕士名额(1学硕、1专硕),感兴趣的同学请联系纪守领老师。代码能力强、有深度学习基础或算法能力强者优先!
03/18/2024 - Our paper "VERIFI: Towards Verifiable Federated Unlearning" was accepted by IEEE Transactions on Dependable and Secure Computing (TDSC). Congrats to Xiangshan!
03/05/2024 - The ZJU NESA LAB congratulates Chenghui on successfully defending his PhD dissertation and Yangkai and Zeyu on successfully defending their MS theses. The committee was very impressed on their work.
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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.
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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