Skip to content
NewA calmer, faster ZeroHour

Researchers set ethics guidance for studies of arXiv sources

Original title: Public, Identifiable, and Effectively Immutable: Ethical Lessons from Research on arXiv

arXiv cs.CRby Jan Pennekamp ()1 min read
AI summary · x-ai/grok-4.7Summaries by Vani AI

They warn public papers can still contain identifiable data, leaked secrets and other sensitive details.

A cs.CR paper examines ethics after studies, including the authors' own, analysed arXiv source files that arXiv distributes publicly, often to authors' surprise. The authors say intentionally public, real-name data can still raise concerns when reused for empirical analysis, including exposure of personally identifiable information and leaked secrets. They discuss four higher-level dilemmas and four lessons: treat public availability as the start of ethical reasoning, limit amplification of exposed information, calibrate disclosure to harm, confidence and actionability, and account for effective immutability. The same issues, they argue, apply to other public live resources such as Zenodo and the Wayback Machine.

Key facts
  • Guidance is drawn from talks with researchers, affected authors and readers.
  • Disclosure should match harm, confidence and actionability.
  • Zenodo and the Wayback Machine are named as similar sources.
Analyze this story with Vani AIImpact, who is affected and what defenders should do, in a new chat

From the original article

1 min read at arxiv.org

Ethical decision-making is central to safe cybersecurity research. Recent studies, one of which is our own, analyzing the source files of arXiv papers bring this challenge to light - arXiv publicly distributes the source files, to the surprise of many authors. Unique aspects reveal ethical challenges and dilemmas that extend beyond established ethical frameworks, institutional processes, and community best practices.

arXiv cs.CR

By Jan Pennekamp · arxiv.org

Read the full article at arXiv cs.CR

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.