4 papers
Rust and Go directed fuzzing with LibAFL-DiFuzz
Timofey Mezhuev, Darya Parygina, Daniil Kuts
In modern SSDLC, program analysis and automated testing are essential for minimizing vulnerabilities before software release, with fuzzing being a fast and widely used dynamic test…
Hybrid Approach to Directed Fuzzing
Darya Parygina, Timofey Mezhuev, Daniil Kuts
Program analysis and automated testing have recently become an essential part of SSDLC. Directed greybox fuzzing is one of the most popular automated testing methods that focuses o…
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…
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…