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 Privacy, (4) CV and Multimedia Understanding, and (5) Big Data Mining and Analysis.
12/05/2020 - Our paper "PROCESS: Privacy-Preserving On-Chain Certificate Status Service" was accepted by IEEE INFOCOM 2021. Congrats to Meng.
12/02/2020 - Our two papers "i-Algebra: Towards Interactive Interpretability of Deep Neural Networks" and "Aggregated Multi-GANs for Controlled 3D Human Motion Prediction" were accepted by AAAI 2021. Congrats to Xinyang and Zhenguang.
11/05/2020 - Our paper "A Large-scale Empirical Study on the Vulnerability of Deployed IoT Devices" [PDF] was accepted by IEEE Transactions on Dependable and Secure Computing (TDSC). Congrats to Binbin!
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 more
Adversarial Learning; Machine Learning Security and Privacy; AI-aided Vulnerability Mining; Smart Fuzzing; and Secure Multi-Party Computing and Learning.read more
Graph Privacy; Anonymization and De-anonymization; Differential Privacy; and Web Privacy..read more
Social Network Computing and Analytics and Graph and Network Embedding.read more