1 research outputs found
On the Security of Pixel-Based Image Encryption for Privacy-Preserving Deep Neural Networks
This paper aims to evaluate the safety of a pixel-based image encryption
method, which has been proposed to apply images with no visual information to
deep neural networks (DNN), in terms of robustness against ciphertext-only
attacks (COA). In addition, we propose a novel DNN-based COA that aims to
reconstruct the visual information of encrypted images. The effectiveness of
the proposed attack is evaluated under two encryption key conditions: same
encryption key, and different encryption keys. The results show that the
proposed attack can recover the visual information of the encrypted images if
images are encrypted under same encryption key. Otherwise, the pixel-based
image encryption method has robustness against COA.Comment: Accepted in 2019 IEEE 8th Global Conference on Consumer Electronics
(GCCE 2019). arXiv admin note: substantial text overlap with arXiv:1905.0182