論文分享：Finding Bugs Using Your Own Code: Detecting Functionally-similar yet Inconsistent Code
論文：Finding Bugs Using Your Own Code: Detecting Functionally-similar yet Inconsistent Code 今天分享的論文是美國東北大學盧龍教授團隊在usenix security2021發的一篇關於機器學習檢測漏洞的論文 文章目錄 簡介 背景 方法 結果 侷限性 總結 簡介 概率分類在檢測已知類型的漏洞取得了很好的效果。但是
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相關文章
- 1. 論文分享：Sys: a Static/Symbolic Tool for Finding Good Bugs in Good (Browser) Code
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