Data markets serve as crucial platforms facilitating data discovery, exchange, sharing, and integration among data users and providers. However, the paramount concern of privacy has predominantly centered on protecting privacy of data owners and third parties, neglecting the challenges associated with protecting the privacy of data buyers. In this article, we address this gap by modeling the intricacies of data buyer privacy protection and investigating the delicate balance between privacy and purchase cost. Through comprehensive experimentation, our results yield valuable insights, shedding light on the efficacy and efficiency of our proposed approaches.

翻译：数据市场作为促进数据用户与提供者之间数据发现、交换、共享和整合的关键平台，其隐私保护的核心关切长期以来主要集中于数据所有者及第三方的隐私，而忽视了保护数据购买者隐私所面临的挑战。本文通过建模数据购买者隐私保护的复杂性，并探究隐私保护与购买成本之间的微妙平衡，以弥补这一研究空白。通过全面的实验验证，我们的研究结果提供了有价值的见解，揭示了所提出方法的有效性与效率。