HackerTrans
トップ新着トレンドコメント過去質問紹介求人

tsgates

no profile record

投稿

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

vibe-radar-ten.vercel.app
4 ポイント·投稿者 tsgates·4 か月前·0 コメント

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

arxiv.org
23 ポイント·投稿者 tsgates·10 か月前·0 コメント

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

team-atlanta.github.io
12 ポイント·投稿者 tsgates·11 か月前·1 コメント

コメント

tsgates
·3 年前·議論
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.