An Overview of Compressible and Learnable Image Transformation with Secret Key and its Applications
An Overview of Compressible and Learnable Image Transformation with Secret Key and its Applications
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DOI：
10.1561/116.00000048
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发表时间：
2022-01-01
影响因子：
3.2
通讯作者：
Shiota, Sayaka
中科院分区：
文献类型：
--
作者：
Kiya, Hitoshi;Maung, April Pyone Maung;Shiota, Sayaka
本文概述了使用密钥进行图像转换及其应用。使用密钥进行图像转换不仅可以保护普通图像上的视觉信息，还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，以供机器学习使用。利用这些特性已经开发了这种转换的各种应用。在本文中，我们重点研究一类称为可学习图像加密的图像变换，它适用于隐私保护机器学习和对抗性鲁棒防御。提供了转换算法和性能的详细描述。此外，我们还讨论了针对各种攻击的鲁棒性。
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.