"Pioneering an AI-driven Approach to Cybersecurity Analysis"
"Pioneering an AI-driven Approach to Cybersecurity Analysis"
A Northwestern University Computer Science team took first place in the fuzzing tool competition at the 17th International Workshop on Search-Based and Fuzz Testing (SBFT 2024). Fuzz testing, also known as fuzzing, is an automated testing method used to detect coding errors and security vulnerabilities in software, operating systems, or networks by generating a massive amount of invalid or random data inputs and monitoring for system crashes, failures, or memory leaks.