一篇新论文分析了为支持可复现性而共享的研究成果的安全性，发现其中许多包含不安全的代码模式。该研究检查了来自安全会议的509项研究成果，并确定超过41%的常见发现可能在实践中构成安全风险。为解决此问题，研究人员开发了SAFE，一个用于安全感知成果评估的框架，该框架在区分安全相关问题方面达到了高准确率。 AI
影响 强调了共享研究代码中潜在的安全漏洞，并突出了在成果评估中进行健全安全检查的必要性。
排序理由 该集群包含一篇详细介绍新方法和研究结果的学术论文。
AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →
arXiv:2605.06508v1 Announce Type: cross Abstract: Research artifacts are widely shared to support reproducibility, and artifact evaluation (AE) has become common at many leading conferences. However, AE mainly checks whether artifacts work as claimed and can be reproduced. It lar…
Research artifacts are widely shared to support reproducibility, and artifact evaluation (AE) has become common at many leading conferences. However, AE mainly checks whether artifacts work as claimed and can be reproduced. It largely overlooks potential security risks. Since the…