Security & PrivAcy (NESA) Research Lab, directed by Dr. Shouling Ji, works at the intersection of the 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 Security, (3) Privacy, and (4) Big Data Analysis.
04/18/2018 - Dr. Shouling Ji was invited to serve on the Technical Program Committee (TPC) of IEEE MASS 2018.
04/05/2018 - Dr. Shouling Ji was elected to the CCF Technical Committee on Blockchian (CCF 区块链专委会委员).
03/10/2018 - Dr. Shouling Ji was invited to serve on the Technical Program Committee (TPC) of ACM CCS 2018, SECURECOMM 2018, and ICICS 2018.
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