2 papers
cs.SE2026
Knowledge-Guided Synthetic Bug Feedback for LLM-Based Unit Test Generation
Ziheng Wang, Maike Li, Chen Zhi
Large language models (LLMs) have opened new opportunities for unit test generation, but executable tests do not necessarily reveal real defects. This paper studies how historical…
cs.CR2025
SRAF: Stealthy and Robust Adversarial Fingerprint for Copyright Verification of Large Language Models
Zhebo Wang, Zhenhua Xu, Maike Li +5
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…