MADFuzz: A Study on Automatic Exploitation of Smart Contract Vulnerabilities Using Multi-Agent Reinforcement Learning-guided Fuzzing

RESEARCH CREW
9:35 28/10/2024
TIN LIÊN QUAN
The advancement of software vulnerability detection tools has accelerated in recent years, yet the prevalence and severity of vulnerabilities continue to escalate, posing significant threats to computer security and information safety. To address this, numerous detection methodologies have been proposed, with machine learning-based approaches demonstrating notable promise. In this paper,...