带秘密密钥的可压缩可学习图像变换及其应用综述
An Overview of Compressible and Learnable Image Transformation with Secret Key and Its Applications
摘要：
介绍了带秘密密钥的图像变换及其应用。使用秘密密钥的图像变换不仅可以保护普通图像上的视觉信息，而且可以将由密钥控制的独特特征嵌入到图像中。此外，许多加密方法可以生成可压缩且可学习的加密图像，用于机器学习。通过使用这些性质，已经开发了这种变换的各种应用。在本文中，我们专注于一类图像变换称为可学习的图像加密，这是适用于隐私保护机器学习和对抗鲁棒防御。提供了两个转换算法和性能的详细描述。此外，我们还讨论了对各种攻击的鲁棒性。
英文摘要：
This article presents an overview of image transformation with a secret key and its applications. Image transformation with a secret key enables us not only to protect visual information on plain images but also to embed unique features controlled with a key into images. In addition, numerous encryption methods can generate encrypted images that are compressible and learnable for machine learning. Various applications of such transformation have been developed by using these properties. In this paper, we focus on a class of image transformation referred to as learnable image encryption, which is applicable to privacy-preserving machine learning and adversarially robust defense. Detailed descriptions of both transformation algorithms and performances are provided. Moreover, we discuss robustness against various attacks.
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。
