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.
翻译:此篇文章概述了带有秘密密钥及其应用程序的图像转换。 带有秘密密钥的图像转换使我们不仅能够保护普通图像上的视觉信息,而且能够将用钥匙控制的独特特征嵌入图像中。 此外, 许多加密方法可以生成可压缩和可学习用于机器学习的加密图像。 通过使用这些属性开发了这种转换的各种应用。 在本文中, 我们侧重于被称为可学习的图像加密的图像转换类别, 适用于隐私保存机学习和对抗性强的防御。 提供了关于转换算法和性能的详细描述。 此外, 我们讨论各种攻击的稳健性。