1 citations · 1 across the 3 of their papers we have counts for
3 papers
FalseCrashReducer: Mitigating False Positive Crashes in OSS-Fuzz-Gen Using Agentic AI
Paschal C. Amusuo, Dongge Liu, Ricardo Andres Calvo Mendez +3
Fuzz testing has become a cornerstone technique for identifying software bugs and security vulnerabilities, with broad adoption in both industry and open-source communities. Direct…
Fixing Security Vulnerabilities with AI in OSS-Fuzz
Yuntong Zhang, Jiawei Wang, Dominic Berzin +5
Critical open source software systems undergo significant validation in the form of lengthy fuzz campaigns. The fuzz campaigns typically conduct a biased random search over the dom…
SBFT Tool Competition 2023 -- Fuzzing Track
Dongge Liu, Jonathan Metzman, Marcel Böhme +2
This report outlines the objectives, methodology, challenges, and results of the first Fuzzing Competition held at SBFT 2023. The competition utilized FuzzBench to assess the code-…