An Image Identification Scheme Of Encrypted Jpeg Images For Privacy-Preserving Photo Sharing Services

Iida, Koji; Kiya, Hitoshi

doi:10.1109/icip.2019.8803431

Cited by 10 publications

(4 citation statements)

References 23 publications

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“…An EtC system is used in such scenarios, although the traditional way of securely transmitting images is to use a compression-then-encryption (CtE) system. Compressible encryption methods have been applied to privacy-preserving compression, data hiding, and image retrieval [28]- [30] in cloud environments. In addition, visually protected images have been demonstrated to be effective in fake image detection [31] and various learning algorithms [10], [32]- [37].…”

Section: Copyright Cmentioning

confidence: 99%

Image and Model Transformation with Secret Key for Vision Transformer

Kiya

Iijima

MaungMaung

et al. 2023

IEICE Trans. Inf. & Syst.

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In this paper, we propose a combined use of transformed images and vision transformer (ViT) models transformed with a secret key. We show for the first time that models trained with plain images can be directly transformed to models trained with encrypted images on the basis of the ViT architecture, and the performance of the transformed models is the same as models trained with plain images when using test images encrypted with the key. In addition, the proposed scheme does not require any specially prepared data for training models or network modification, so it also allows us to easily update the secret key. In an experiment, the effectiveness of the proposed scheme is evaluated in terms of performance degradation and model protection performance in an image classification task on the CIFAR-10 dataset.

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Section: Copyright Cmentioning

confidence: 99%

Image and Model Transformation with Secret Key for Vision Transformer

Kiya

Iijima

MaungMaung

et al. 2023

IEICE Trans. Inf. & Syst.

Self Cite

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“…The authors in [53] determined some parameters that can be used in order to resist such manipulations. Similarly, photo-sharing schemes based on an extended algorithm of the Color CPE and of the PGS-CPE were proposed in [54,55] and [56], respectively. The main advantage of the schemes was the identification of images re-encrypted with different keys.…”

Section: Cpe Scheme Applicationsmentioning

confidence: 99%

Comprehensive Analysis of Compressible Perceptual Encryption Methods—Compression and Encryption Perspectives

Ahmad

Choi

Shin

2023

Sensors

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Perceptual encryption (PE) hides the identifiable information of an image in such a way that its intrinsic characteristics remain intact. This recognizable perceptual quality can be used to enable computation in the encryption domain. A class of PE algorithms based on block-level processing has recently gained popularity for their ability to generate JPEG-compressible cipher images. A tradeoff in these methods, however, is between the security efficiency and compression savings due to the chosen block size. Several methods (such as the processing of each color component independently, image representation, and sub-block-level processing) have been proposed to effectively manage this tradeoff. The current study adapts these assorted practices into a uniform framework to provide a fair comparison of their results. Specifically, their compression quality is investigated under various design parameters, such as the choice of colorspace, image representation, chroma subsampling, quantization tables, and block size. Our analyses have shown that at best the PE methods introduce a decrease of 6% and 3% in the JPEG compression performance with and without chroma subsampling, respectively. Additionally, their encryption quality is quantified in terms of several statistical analyses. The simulation results show that block-based PE methods exhibit several favorable properties for the encryption-then-compression schemes. Nonetheless, to avoid any pitfalls, their principal design should be carefully considered in the context of the applications for which we outlined possible future research directions.

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“…However, there is the possibility of data leakage and unauthorized use by service providers because they are not trusted in general. Therefore, various privacy-preserving image identification [10] and retrieval [1]- [9] and processing schemes [11], [12] have been proposed.…”

Section: Introductionmentioning

confidence: 99%

“…On the other hand, it is required for image identification and retrieval on cloud services that the schemes have robustness against the image compression [1]- [3], [10], [13]. This is because images are generally uploaded and stored in a compressed form to reduce the amount of data.…”

Section: Introductionmentioning

confidence: 99%

A Privacy-Preserving Image Retrieval Scheme with a Mixture of Plain and EtC Images

Iida¹,

Kiya²

2022

Preprint

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In this paper, we propose a novel content-based image-retrieval scheme that allows us to use a mixture of plain images and compressible encrypted ones called "encryption-thencompression (EtC) images." In the proposed scheme, extended SIMPLE descriptors are extracted from EtC images as well as from plain ones, so the mixed use of plain and encrypted images is available for image retrieval. In an experiment, the proposed scheme was demonstrated to have almost the same retrieval performance as that for plain images, even with a mixture of plain and encrypted images.

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An Image Identification Scheme Of Encrypted Jpeg Images For Privacy-Preserving Photo Sharing Services

Cited by 10 publications

References 23 publications

Image and Model Transformation with Secret Key for Vision Transformer

Image and Model Transformation with Secret Key for Vision Transformer

Comprehensive Analysis of Compressible Perceptual Encryption Methods—Compression and Encryption Perspectives

A Privacy-Preserving Image Retrieval Scheme with a Mixture of Plain and EtC Images

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