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Robustness-Aware Evaluation and Enhancement of Mutation-Based Fuzzing for Bug Discovery
Mutation-based fuzzing is widely used to discover software vulnerabilities, but its randomness complicates rigorous evaluation and reliable bug detection. Prior work measures this variability empirically but lacks a theory with computable convergence and sample-complexity guarantees. We address both
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