A jigsaw puzzle solver-based attack on block-wise image encryption for privacy-preserving DNNs

Tatsuya Chuman; Hitoshi Kiya

doi:10.1117/12.2665805

25 March 2023 A jigsaw puzzle solver-based attack on block-wise image encryption for privacy-preserving DNNs

Tatsuya Chuman, Hitoshi Kiya

Proceedings Volume 12592, International Workshop on Advanced Imaging Technology (IWAIT) 2023; 125921O (2023) https://doi.org/10.1117/12.2665805
Event: International Workshop on Advanced Imaging Technology (IWAIT) 2023, 2023, Jeju, Korea, Republic of

Abstract

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.

Citation Download Citation

Tatsuya Chuman and Hitoshi Kiya "A jigsaw puzzle solver-based attack on block-wise image encryption for privacy-preserving DNNs", Proc. SPIE 12592, International Workshop on Advanced Imaging Technology (IWAIT) 2023, 125921O (25 March 2023); https://doi.org/10.1117/12.2665805

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KEYWORDS

Image encryption

Image restoration

Visualization

Information visualization

Neural networks

Image enhancement

Lawrencium

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