With the rise of artificial intelligence and machine learning, a new wave of private information is being flushed into applications. This development raises privacy concerns, as private datasets can be stolen or abused for non-authorized purposes. Secure function computation aims to solve such problems by allowing a service provider to compute functions of datasets in the possession of a a data provider without reading the data itself. A foundational primitive for such tasks is Bit Commitment (BC), which is known to be impossible to realize without added assumptions. Given the pressing nature of the topic, it is thus important to develop BC systems and prove their security under reasonable assumptions. In this work, we provide a novel quantum optical BC protocol that uses the added assumption that the network provider will secure transmission lines against eavesdropping. Under this added assumption, we prove security of our protocol in the honest but curious setting and discuss the hardness of Mayer's attack in the context of our protocol.

翻译：随着人工智能和机器学习的兴起，大量新型私有信息正涌入各类应用。这一发展趋势引发了隐私担忧，因为私有数据集可能被盗取或滥用于非授权目的。安全函数计算旨在通过允许服务提供商在不读取数据本身的情况下，计算数据提供商所持数据集的函数，从而解决此类问题。此类任务的基础原语是比特承诺（BC），已知在无附加假设的情况下无法实现。鉴于该议题的紧迫性，在合理假设下开发BC系统并证明其安全性至关重要。本工作提出了一种新颖的量子光学BC协议，该协议采用网络提供商将确保传输线路免受窃听的附加假设。在此附加假设下，我们证明了协议在诚实但好奇场景下的安全性，并讨论了Mayer攻击在本协议上下文中的困难性。