14 citations · 34 across the 6 of their papers we have counts for
6 papers
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…
Sydr-Fuzz: Continuous Hybrid Fuzzing and Dynamic Analysis for Security Development Lifecycle
Alexey Vishnyakov, Daniil Kuts, Vlada Logunova +4
Nowadays automated dynamic analysis frameworks for continuous testing are in high demand to ensure software safety and satisfy the security development lifecycle (SDL) requirements…
Strong Optimistic Solving for Dynamic Symbolic Execution
Darya Parygina, Alexey Vishnyakov, Andrey Fedotov
Dynamic symbolic execution (DSE) is an effective method for automated program testing and bug detection. It is increasing the code coverage by the complex branches exploration duri…
Casr-Cluster: Crash Clustering for Linux Applications
Georgy Savidov, Andrey Fedotov
Crash report analysis is a necessary step before developers begin fixing errors. Fuzzing or hybrid (with dynamic symbolic execution) fuzzing is often used in the secure development…
Symbolic Security Predicates: Hunt Program Weaknesses
Alexey Vishnyakov, Vlada Logunova, Eli Kobrin +3
Dynamic symbolic execution (DSE) is a powerful method for path exploration during hybrid fuzzing and automatic bug detection. We propose security predicates to effectively detect u…
Sydr: Cutting Edge Dynamic Symbolic Execution
Alexey Vishnyakov, Andrey Fedotov, Daniil Kuts +6
The security development lifecycle (SDL) is becoming an industry standard. Dynamic symbolic execution (DSE) has enormous amount of applications in computer security (fuzzing, vulne…