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.
09/27/2018 - Our paper "DeepSec: A Uniform Platform for Security Analysis of Deep Learning Models" [PDF] was accepted by IEEE S&P (Oakland) 2019. Congrats to Lingxiang, Jiannan, and Jiaxu!
09/23/2018 - Our paper "Attacker Location Evaluation-based Fake Source Scheduling for Source Location Privacy in Cyber-Physical Systems" was accepted by IEEE Transactions on Information Forensics & Security (TIFS). Congrats to Zhen!
08/31/2018 - Haiqin Weng was chosen to receive an ACM CCS 2018 Travel Grant. Congrats to Haiqin.
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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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