Trust AI & Security Lab, TAIS

We study security with LLMs and security for LLMs, grounded in secure software engineering and federated learning security.

Explore our research View publications

News

Jun 06, 2026 “PI-FD: Property Inference Attacks on Federated Learning With Distillation via Synthetic Data Generation” was published in IEEE Access.
May 11, 2026 “VulScope: Software Vulnerability Detection via Local Context Analysis and Verification” was accepted for publication in Empirical Software Engineering.
Apr 15, 2026 Our study, “Rethinking the Capability of Fine-Tuned Language Models for Automated Vulnerability Repair,” was presented in the ICSE 2026 Research Track. The work introduces execution-based evaluation for learning-based vulnerability repair.