1Password's FLAWED paper on AI patching criticized for thin citations and factual errors
What happened
Suha Sabi Hussain 公开批评 1Password 旗下 Off-by-1 Labs 发布的 FLAWED 论文。这篇论文声称前沿模型生成的漏洞补丁常有缺陷,但 Hussain 指出它只引用了 19 个来源,大部分是公司博客和 XKCD 漫画,却漏掉了 Meta 的 AutoPatchBench 和一篇 NDSS 论文等直接相关的前人研究...
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- Hacker News front pagePick1Password's FLAWED paper on AI patching criticized for thin citations and factual errors
Suha Sabi Hussain publicly criticized 1Password's FLAWED paper from Off-by-1 Labs. The paper claims frontier models often produce flawed vulnerability patches, but Hussain notes it cites only 19 sources—mostly corporate blogs and XKCD—while omitting directly relevant prior work like Meta's AutoPatchBench and an NDSS paper. The paper also contains mislabeled diagrams and arithmetic errors. Hussain argues that 1Password adopted the tone of rigorous research without the corresponding rigor, and that this work overshadowed higher-quality research from less-resourced groups like EleutherAI. She calls for a retraction or correction and suggests partnering with academic researchers.