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cs.SE2025
Lares: LLM-driven Code Slice Semantic Search for Patch Presence Testing
Siyuan Li, Yaowen Zheng, Hong Li +7
In modern software ecosystems, 1-day vulnerabilities pose significant security risks due to extensive code reuse. Identifying vulnerable functions in target binaries alone is insuf…
cs.SE2025
Towards Reliable LLM-Driven Fuzz Testing: Vision and Road Ahead
Yiran Cheng, Hong Jin Kang, Lwin Khin Shar +4
Fuzz testing is a crucial component of software security assessment, yet its effectiveness heavily relies on valid fuzz drivers and diverse seed inputs. Recent advancements in Larg…
cs.CR2025
Fine-Grained 1-Day Vulnerability Detection in Binaries via Patch Code Localization
Chaopeng Dong, Jingdong Guo, Shouguo Yang +5
1-day vulnerabilities in binaries have become a major threat to software security. Patch presence test is one of the effective ways to detect the vulnerability. However, existing p…