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The Dynamic Optimization of AFL Fuzzing Mutation Strategies Based on Adaptive Reward Proximal Policy Optimization
Fuzzing has emerged as a vital technique for discovering vulnerabilities in software systems. American Fuzzy Lop (AFL) is a widely used fuzzer known for its effectiveness and efficiency. However, optimizing fuzzing strategies to enhance coverage and bug discovery remains a significant challenge. Thi
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