3 papers
cs.CR2026
Understanding Binary Code Similarity for Real-World Vulnerability Detection: A Large-Scale Empirical Study
Jingdong Guo, Chaopeng Dong, Yimo Ren +4
Firmware lies at the heart of IoT devices. Its development depends heavily on third-party libraries (TPLs), which greatly accelerate the process but simultaneously introduce associ…
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.CR2025
SMTFL: Secure Model Training to Untrusted Participants in Federated Learning
Zhihui Zhao, Xiaorong Dong, Yimo Ren +4
Federated learning is an essential distributed model training technique. However, threats such as gradient inversion attacks and poisoning attacks pose significant risks to the pri…