Research Interests
Data Security: Research on data security sharing technology, machine learning data privacy protection mechanism, applied to smart medical, Internet finance and other fields.
Artificial Intelligence Security: Research on vulnerability analysis and security enhancement technology for AI technologies such as deep learning, federated learning, and applications (e.g., face recognition systems, voice recognition systems).
Network Encrypted Traffic Analysis: Research on using deep learning techniques to analyze the regularity and characterization information in network traffic (especially encrypted traffic) for applications in network anomaly detection, malicious website identification, cyberspace resource detection, and encrypted video service optimization.
Blockchain Security: Research on abnormal transaction identification and traceability technology of blockchain digital currencies to guarantee the supervision and security protection of the new decentralized network computing model.