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English(EN) Plausible Deniability Guarantees for Whistleblowers

利用差分隐私为举报人开发新的隐私保障

研究人员开发了一种新的方法,为举报人提供合理否认保障,以应对阻碍举报的报复威胁。所提出的框架通过确保审计选择记录的每份报告 $(0, \delta)$-差分隐私,来形式化对抗强大对手的保护。该方法将私有审计简化为私有持续计数,在某些条件下提供了改进的噪声缩放和选择误差消失。 AI

影响 这项研究可能导致更安全、更私密的举报组织不当行为的系统,并可能影响各行业敏感数据的处理方式。

排序理由 该集群包含一篇在 arXiv 上发表的学术论文,详细介绍了新的隐私保障理论框架和机制。[lever_c_demoted from research: ic=2 ai=0.4]

在 arXiv stat.ML 阅读 →

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利用差分隐私为举报人开发新的隐私保障

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该集群包含一篇在 arXiv 上发表的学术论文,详细介绍了新的隐私保障理论框架和机制。[lever_c_demoted from research: ic=2 ai=0.4]
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报道来源 [2]

  1. arXiv stat.ML TIER_1 English(EN) · Leo Richter, Matt J. Kusner ·

    为举报人提供合理否认的保证

    arXiv:2607.13928v1 Announce Type: cross Abstract: Whistleblowers are a key safeguard against organizational wrongdoing, but the threat of retaliation deters reporting. Existing whistleblower-protection proposals lack formal privacy guarantees, and existing differential privacy me…

  2. arXiv stat.ML TIER_1 English(EN) · Matt J. Kusner ·

    为举报人提供合理否认的可能性保障

    Whistleblowers are a key safeguard against organizational wrongdoing, but the threat of retaliation deters reporting. Existing whistleblower-protection proposals lack formal privacy guarantees, and existing differential privacy mechanisms do not directly target the natural threat…