2 citations · 8 across the 16 of their papers we have counts for
8 papers · 1 filter
Generative Model-Based Attack on Learnable Image Encryption for Privacy-Preserving Deep Learning
AprilPyone MaungMaung, Hitoshi Kiya
In this paper, we propose a novel generative model-based attack on learnable image encryption methods proposed for privacy-preserving deep learning. Various learnable encryption me…
Combined Use of Federated Learning and Image Encryption for Privacy-Preserving Image Classification with Vision Transformer
Teru Nagamori, Hitoshi Kiya
In recent years, privacy-preserving methods for deep learning have become an urgent problem. Accordingly, we propose the combined use of federated learning (FL) and encrypted image…
A Privacy Preserving Method with a Random Orthogonal Matrix for ConvMixer Models
Rei Aso, Tatsuya Chuman, Hitoshi Kiya
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 div…
An Access Control Method with Secret Key for Semantic Segmentation Models
Teru Nagamori, Ryota Iijima, Hitoshi Kiya
A novel method for access control with a secret key is proposed to protect models from unauthorized access in this paper. We focus on semantic segmentation models with the vision t…
A Detection Method of Temporally Operated Videos Using Robust Hashing
Shoko Niwa, Miki Tanaka, Hitoshi Kiya
SNS providers are known to carry out the recompression and resizing of uploaded videos/images, but most conventional methods for detecting tampered videos/images are not robust eno…
Privacy-Preserving Image Classification Using ConvMixer with Adaptive Permutation Matrix
Zheng Qi, AprilPyone MaungMaung, Hitoshi Kiya
In this paper, we propose a privacy-preserving image classification method using encrypted images under the use of the ConvMixer structure. Block-wise scrambled images, which are r…