Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Chuman, Tatsuya"'
Several learnable image encryption schemes have been developed for privacy-preserving image classification. This paper focuses on the security block-based image encryption methods that are learnable and JPEG-friendly. Permuting divided blocks in an i
Externí odkaz:
http://arxiv.org/abs/2308.02227
In this paper, a privacy preserving image classification method is proposed under the use of ConvMixer models. To protect the visual information of test images, a test image is divided into blocks, and then every block is encrypted by using a random
Externí odkaz:
http://arxiv.org/abs/2301.03843
Autor:
Chuman, Tatsuya, Kiya, Hitoshi
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 r
Externí odkaz:
http://arxiv.org/abs/2211.02369
Autor:
Chuman, Tatsuya, Kiya, Hitoshi
The security of learnable image encryption schemes for image classification using deep neural networks against several attacks has been discussed. On the other hand, block scrambling image encryption using the vision transformer has been proposed, wh
Externí odkaz:
http://arxiv.org/abs/2207.08109
Autor:
Chuman, Tatsuya, Kiya, Hitoshi
The aim of this paper is to evaluate the security of a block-based image encryption for the vision transformer against jigsaw puzzle solver attacks. The vision transformer, a model for image classification based on the transformer architecture, is ca
Externí odkaz:
http://arxiv.org/abs/2202.00806
Autor:
Chuman, Tatsuya, Kiya, Hitoshi
In this paper, we propose a novel learnable image encryption method for privacy-preserving deep neural networks (DNNs). The proposed method is carried out on the basis of block scrambling used in combination with data augmentation techniques such as
Externí odkaz:
http://arxiv.org/abs/2104.01398
A new grayscale-based block scrambling image encryption scheme is presented to enhance the security of Encryption-then-Compression (EtC) systems, which are used to securely transmit images through an untrusted channel provider. The proposed scheme en
Externí odkaz:
http://arxiv.org/abs/1812.06799
A block scrambling-based encryption scheme is presented to enhance the security of Encryption-then-Compression (EtC) systems with JPEG compression, which allow us to securely transmit images through an untrusted channel provider, such as social netwo
Externí odkaz:
http://arxiv.org/abs/1811.00236
This paper considers a new grayscale-based image encryption for Encryption-then-Compression (EtC) systems with JPEG compression. Firstly, generation methods of grayscale-based images are discussed in terms of the selection of color space. In addition
Externí odkaz:
http://arxiv.org/abs/1810.13067
Encryption-then-Compression (EtC) systems have been proposed to securely transmit images through an untrusted channel provider. In this study, EtC systems were applied to social media like Twitter that carry out image manipulations. The block scrambl
Externí odkaz:
http://arxiv.org/abs/1810.02062