[Review] Titan : Efficient Multi-target Directed Greybox Fuzzing

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The paper presents a multi-target fuzzing method, which fuzzes different targets at the same time.

Titan is proposed to perform this work, enabling the fuzzers to distinguish correlations between various targets in the program. And under these correlations, optimizes the input generation efficiently and simultaneously fuzzing different targets.

repo

Introduction:

In practice, more than 1000 potential targets may need verification, which will be costly. Current direct fuzzing only aims at on target at a time, lowering the verification efficiency, and generating multiple instances for fuzzing multiple targets will also be 3.6x slower compared with sequentially applying only one instance at a time for one target.