Accurate and Low-Cost Residual Risk Assessment via Sampled Profiling and Structure-Aware Coverage Amplification
Published in Proceedings of the 41st IEEE/ACM International Conference on Automated Software Engineering (ASE '26), 2026
A risk assessment method for black-box fuzzing that replaces coverage instrumentation with hardware-enabled instruction pointer sampling and must-execute analysis, achieving 4.27x higher throughput while maintaining high accuracy.
Recommended citation: Seongmin Lee, Işıl Özgü, Marcel Böhme, and Miryung Kim. 2026. "Accurate and Low-Cost Residual Risk Assessment via Sampled Profiling and Structure-Aware Coverage Amplification." In Proceedings of the 41st IEEE/ACM International Conference on Automated Software Engineering (ASE '26), October 12–16, 2026, Munich, Germany. ACM, New York, NY, USA, 12 pages. https://doi.org/10.1145/3832783.3837519
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