论文标题
私人两端假设检验
Private Two-Terminal Hypothesis Testing
论文作者
论文摘要
我们使用简单的假设研究私人的两端假设测试，即隐私目标是确保参与测试协议的几乎没有其他用户观察到的其他信息，而当用户被告知正确的假设是什么。我们表明，如果用户无法访问相关（但不是常见的）随机性，则通常无法实现有意义的正确性和隐私。当用户可以访问非平凡相关的随机性（允许安全的多方计算的那些）时，我们表征了最佳的正确性和隐私错误指数。
We study private two-terminal hypothesis testing with simple hypotheses where the privacy goal is to ensure that participating in the testing protocol reveals little additional information about the other user's observation when a user is told what the correct hypothesis is. We show that, in general, meaningful correctness and privacy cannot be achieved if the users do not have access to correlated (but, not common) randomness. We characterize the optimal correctness and privacy error exponents when the users have access to non-trivial correlated randomness (those that permit secure multiparty computation).
