3 papers
cs.CR2025
When Machine Learning Meets Vulnerability Discovery: Challenges and Lessons Learned
Sima Arasteh, Christophe Hauser
In recent years, machine learning has demonstrated impressive results in various fields, including software vulnerability detection. Nonetheless, using machine learning to identify…
cs.CR2025
BinPool: A Dataset of Vulnerabilities for Binary Security Analysis
Sima Arasteh, Georgios Nikitopoulos, Wei-Cheng Wu +4
The development of machine learning techniques for discovering software vulnerabilities relies fundamentally on the availability of appropriate datasets. The ideal dataset consists…
cs.SE2024
Is This the Same Code? A Comprehensive Study of Decompilation Techniques for WebAssembly Binaries
Wei-Cheng Wu, Yutian Yan, Hallgrimur David Egilsson +4
WebAssembly is a low-level bytecode language designed for client-side execution in web browsers. The need for decompilation techniques that recover high-level source code from WASM…