The
Network SystEm
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.
08/13/2018 - Our two papers "Integration of Static and Dynamic Code Stylometry Analysis for Programmer De-anonymization" and "Towards Evaluating the Security of Image CAPTCHA in the Wild" were accepted by AISec 2018. Congrats to Ningfei, Binbin and Haiqin.
07/28/2018 - Dr. Shouling Ji was invited to serve on the TPC for IEEE ICC 2019.
07/24/2018 - Our paper "Model-Reuse Attacks on Learning Systems" was accepted by ACM CCS 2018. Congrats to Yujie!
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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.
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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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