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• W1546956568 abstract "We present the design of an algorithm to maximize the number of bugs found for black-box mutational fuzzing given a program and a seed input. The major intuition is to leverage white-box symbolic analysis on an execution trace for a given program-seed pair to detect dependencies among the bit positions of an input, and then use this dependency relation to compute a probabilistically optimal mutation ratio for this program-seed pair. Our result is promising: we found an average of 38.6% more bugs than three previous fuzzers over 8 applications using the same amount of fuzzing time." @default.
• W1546956568 created "2016-06-24" @default.
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• W1546956568 date "2015-05-01" @default.
• W1546956568 modified "2023-10-14" @default.
• W1546956568 title "Program-Adaptive Mutational Fuzzing" @default.
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• W1546956568 doi "https://doi.org/10.1109/sp.2015.50" @default.
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