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.
11/24/2025 - Our paper "The Eminence in Shadow: Exploiting Feature Boundary Ambiguity for Robust Backdoor Attacks" was accepted by KDD 2026. Congrats to Zhou!
11/24/2025 - Our paper "APT-CGLP: Advanced Persistent Threat Hunting via Contrastive Graph-Language Pre-Training" was accepted by KDD 2026. Congrats to Xuebo!
11/14/2025 - Our paper "DoBlock: Blocking Malicious Association Propagation for Backdoor-Robust Federated Learning under Domain Skew" was accepted by AAAI 2026 . Congrats to Zhou!
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ZJU NESA LAB 2026级有3-4个博士名额、3-4个硕士名额，研究方向：AI安全（算法能力强者优先）、软件与系统安全（代码能力强者优先），欢迎申请！
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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