2 papers
cs.SE2026
Knowledge-Guided Synthetic Bug Feedback for LLM-Based Unit Test Generation
Ziheng Wang, Maike Li, Chen Zhi
The paper proposes a framework that converts historical bug mechanisms into synthetic bugs to guide large language models in generating more effective unit tests that can detect re…
cs.CR2026
SRAF: Stealthy and Robust Adversarial Fingerprint for Copyright Verification of Large Language Models
Zhebo Wang, Zhenhua Xu, Maike Li +4
The protection of Intellectual Property (IP) for Large Language Models (LLMs) has become a critical concern as model theft and unauthorized commercialization escalate. While advers…