近年来，随着图像数据与云计算平台的快速增长，各种各样的图像处理应用蓬勃发展。与此同时，针对用户外包数据中敏感信息的滥用所产生的安全问题也成为了人们关注的焦点。在现实中，一旦上传到云平台，用户隐私信息的安全只能单纯依赖于云服务提供商的信用。为解决这一问题，对于图像数据处理中的安全性要求与技术难点进行了研究与分析，并提出了多个在保护外包图像数据安全性的同时实现图像处理应用的功能性要求的解决方案。之后针对云计算中的图像数据的隐私保护问题，介绍并分析了多种包括同态加密体系、安全多方计算以及差分隐私在内的当前最新技术。%Enjoying the rapid growth of image data and cloud computing platforms, various image processing ap-plications have emerged and flourished in recent years. Meanwhile, the privacy concerns over the abuse of sensitive information contained in outsourced data also arise in public. In fact, once uploaded to the cloud, the security of us-ers’ private information purely depends on the reliability of the cloud service providers (CSP). To solve this problem, the security requirements and technical challenges lain in privacy-preserving image processing based on different cloud computing architectures were studied, and several solutions to protect the security of outsourced data while enabling functionality of image processing applications were proposed. Several state-of-the-art techniques for secure image processing were introduced and analyzed, including homomorphic encryption (HE) scheme, secure multiparty computation (SMC) protocol, and differential privacy (DP).
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