3 papers
cs.SE2026
Rise From The Ashes: LLM-based Static Analysis for Deep Learning Framework Bugs
Shaoyu Yang, Haifeng Lin, Chunrong Fang +6
Deep learning (DL) frameworks are critical AI infrastructures that often hide bugs with serious security implications. While dynamic approaches such as fuzzing are effective in unc…
cs.SE2024
HardRace: A Dynamic Data Race Monitor for Production Use
Xudong Sun, Zhuo Chen, Jingyang Shi +5
Data races are critical issues in multithreaded program, leading to unpredictable, catastrophic and difficult-to-diagnose problems. Despite the extensive in-house testing, data rac…
cs.PL2024
Scaling Inter-procedural Dataflow Analysis on the Cloud
Zewen Sun, Yujin Zhang, Duanchen Xu +11
Apart from forming the backbone of compiler optimization, static dataflow analysis has been widely applied in a vast variety of applications, such as bug detection, privacy analysi…