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cs.CR2024★ 1 cited
LibAFL-DiFuzz: Advanced Architecture Enabling Directed Fuzzing
Darya Parygina, Timofey Mezhuev, Daniil Kuts
Directed fuzzing performs best for targeted program testing via estimating the impact of each input in reaching predefined program points. But due to insufficient analysis of the p…
cs.CR2024
Python Fuzzing for Trustworthy Machine Learning Frameworks
Ilya Yegorov, Eli Kobrin, Darya Parygina +2
Ensuring the security and reliability of machine learning frameworks is crucial for building trustworthy AI-based systems. Fuzzing, a popular technique in secure software developme…