论文标题
基于拼图拼图求解器对隐私保护DNN的块图像加密的攻击
A Jigsaw Puzzle Solver-based Attack on Block-wise Image Encryption for Privacy-preserving DNNs
论文作者
论文摘要
为保护云服务器中的数据隐私而提出了保护隐私的深神经网络（DNN）。尽管已经提出了用于隐私的DNN的几种用于视觉保护的加密方案，但几项攻击可以从加密图像中恢复视觉信息。另一方面，已经证实，利用块和像素改组的块智能图像加密方案对多次攻击是可靠的。在本文中，我们提出了一种基于拼图拼图求解器的攻击，以恢复包括块和像素改组在内的加密图像中的视觉信息。在实验中，使用拟议的攻击大多恢复了通过使用块图像加密加密的图像。
Privacy-preserving deep neural networks (DNNs) have been proposed for protecting data privacy in the cloud server. Although several encryption schemes for visually protection have been proposed for privacy-preserving DNNs, several attacks enable to restore visual information from encrypted images. On the other hand, it has been confirmed that the block-wise image encryption scheme which utilizes block and pixel shuffling is robust against several attacks. In this paper, we propose a jigsaw puzzle solver-based attack to restore visual information from encrypted images including block and pixel shuffling. In experiments, images encrypted by using the block-wise image encryption are mostly restored by using the proposed attack.
