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tsgates

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Vibe Security Radar: Real CVEs where AI-generated code introduced Bugs

vibe-radar-ten.vercel.app
4 points·by tsgates·4개월 전·0 comments

Tech Report: Winning CRS from Team Atlanta (DARPA AIxCC)

arxiv.org
23 points·by tsgates·10개월 전·0 comments

AIxCC Final and Team Atlanta (first place, $4M)

team-atlanta.github.io
12 points·by tsgates·11개월 전·1 comments

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tsgates
·3년 전·discuss
Thanks for sharing the work.

Tl;dr. autofz is a meta fuzzer that combines a group of fuzzers and outperforms each of individual fuzzers. Since each fuzzer shows completely different characteristics for each targets, it was cumbersome for developers to determine which fuzzer to adopt and to evaluate them for best fit. With autofz, it simply figures out -- based on past execution behavior and responses of each fuzzer, at runtime, and allocates the proper resource to maximize the output (i.e., bug finding and code coverage) of the fuzzing process.