Enhancing fuzzing for better bug detection and triaging

(Currently Ongoing)
Software Engineering Research Group
Department of Computer Science
University of Houston
2020 to present
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Designing and building techniques for improving the effectiveness and efficiency of fuzzing (automated random testing at scale) of parser and compiler libraries, image processors, and other important software tools that are used in billions of devices world-wide. By leveraging modern fuzzers like Google’s AFL, we aim to improve vulnerability detection and triaging.