运用零知识协调刑事案件执法保密与公平审判权

Dor Bitan, R. Canetti, S. Goldwasser, Rebecca Wexler
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引用次数: 4

摘要

使用隐藏的调查软件来收集犯罪证据给法院带来了一个反复出现的两难境地:一方面,为了保持打击犯罪的有效性,将软件隐藏起来往往符合明显的公众利益。另一方面,刑事被告有权检查和质疑对他们不利的全部证据,包括执法部门的调查方法。事实上,在美国的对抗性法律体系中,被告审查政府工具的权利对于寻求真相的过程和保持执法行为的合法性和合宪性至关重要。目前,法院通过证据特权法在个案基础上平衡这些相互冲突的利益,经常表达他们对面临的挑战性困境的沮丧。我们展示了如何明智地使用称为零知识证明(ZKPs)的复杂加密工具来帮助缓解这种困境:基于使用修改版本的点对点软件收集证据的实际法庭案件,我们展示了执法部门如何在这些案件中使用基于zkp的机制来增强他们的调查软件,该机制将允许他们稍后对辩护专家提出的挑战提供完整的回应,并允许辩护专家独立验证执法部门的主张,同时保持软件的隐藏。我们通过一个概念验证实现来演示我们机制的技术可行性。我们还建议进行法律分析,证明使用这种机制是合理的,讨论其优点,并考虑即使在没有使用这种机制的情况下,这种机制的存在本身可能产生的法律影响。我们的概念验证也可以扩展到法律领域的其他验证困境。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using Zero-Knowledge to Reconcile Law Enforcement Secrecy and Fair Trial Rights in Criminal Cases
The use of hidden investigative software to collect evidence of crimes presents courts with a recurring dilemma: On the one hand, there is often clear public interest in keeping the software hidden to preserve its effectiveness in fighting crimes. On the other hand, criminal defendants have rights to inspect and challenge the full evidence against them, including law enforcement's investigative methods. In fact, in the U.S. adversarial legal system, the defendant's rights to scrutinize the government's tools are crucial to the truth-seeking process and to keeping law enforcement conduct lawful and constitutional. Presently, courts balance these conflicting interests on a case-by-case basis through evidentiary privilege law, often voicing their frustration with the challenging dilemma they face. We demonstrate how judicious use of a sophisticated cryptographic tool called Zero Knowledge Proofs (ZKPs) could help to mitigate this dilemma: Based on actual court cases where evidence was collected using a modified version of a peer-to-peer software, we demonstrate how law enforcement could, in these cases, augment their investigative software with a ZKP-based mechanism that would allow them to later provide full responses to challenges made by a defense expert -- and allow a defense expert to independently verify law enforcement claims -- while keeping the software hidden. We demonstrate the technical feasibility of our mechanism via a proof-of-concept implementation. We also propose legal analysis that justifies its use, discusses its merits, and considers the legal implications that the very existence of such a mechanism might have, even in cases where it has not been used. Our proof-of-concept may also extend to other verification dilemmas in the legal landscape.
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