71 citations · 170 across the 38 of their papers we have counts for
4 papers · 1 filter
A Privacy-Preserving Machine Learning Scheme Using EtC Images
Ayana Kawamura, Yuma Kinoshita, Takayuki Nakachi +2
We propose a privacy-preserving machine learning scheme with encryption-then-compression (EtC) images, where EtC images are images encrypted by using a block-based encryption metho…
On the Security of Pixel-Based Image Encryption for Privacy-Preserving Deep Neural Networks
Warit Sirichotedumrong, Yuma Kinoshita, Hitoshi Kiya
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), i…
Privacy-Preserving Machine Learning Using EtC Images
Ayana Kawamura, Yuma Kinoshita, Hitoshi Kiya
In this paper, we propose a novel privacy-preserving machine learning scheme with encrypted images, called EtC (Encryption-then-Compression) images. Using machine learning algorith…
Privacy-Preserving Deep Neural Networks with Pixel-based Image Encryption Considering Data Augmentation in the Encrypted Domain
Warit Sirichotedumrong, Takahiro Maekawa, Yuma Kinoshita +1
We present a novel privacy-preserving scheme for deep neural networks (DNNs) that enables us not to only apply images without visual information to DNNs for both training and testi…