Litcius/Paper detail

Zeror

Chijin Zhou, Mingzhe Wang, Jie Liang, Zhe Liu, Yu Jiang

202035 citationsDOI

Abstract

Coverage-guided fuzzing is one of the most popular software testing techniques for vulnerability detection. While effective, current fuzzing methods suffer from significant performance penalty due to instrumentation overhead, which limits its practical use. Existing solutions improve the fuzzing speed by decreasing instrumentation overheads but sacrificing coverage accuracy, which results in unstable performance of vulnerability detection.

Topics & Concepts

Fuzz testingComputer scienceInstrumentation (computer programming)Vulnerability (computing)Overhead (engineering)SoftwareReliability engineeringEmbedded systemComputer securityEngineeringOperating systemSoftware Testing and Debugging TechniquesAdversarial Robustness in Machine LearningAdvanced Malware Detection Techniques
Zeror | Litcius