多部秘密相关性与约束信息
Multipartite Secret Correlations and Bound Information
摘要：
我们考虑了当$n$诚实方和窃听者共享相关信息时秘密密钥提取问题。我们提出了一个概率分布族，并给出了它的蒸馏性质的充分表征。这种形式主义允许我们设计各种各样的加密方案。特别是，我们提供的例子，多部概率分布包含不可验证的秘密相关性，也被称为绑定信息。
英文摘要：
We consider the problem of secret key extraction when $n$ honest parties and an eavesdropper share correlated information. We present a family of probability distributions and give the full characterization of its distillation properties. This formalism allows us to design a rich variety of cryptographic scenarios. In particular, we provide examples of multipartite probability distributions containing non-distillable secret correlations, also known as bound information.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
