3 papers
cs.CR2026
Privacy-Preserving Object Detection for Vision Transformer-Based Models
Homare Sueyoshi, Kiyoshi Nishikawa, Hitoshi Kiya
We propose a novel object detection method that enables us to protect sensitive visual information of test images. Previous studies considering visual information protection focus…
cs.CV2025
A Privacy-Preserving Semantic-Segmentation Method Using Domain-Adaptation Technique
Homare Sueyoshi, Kiyoshi Nishikawa, Hitoshi Kiya
We propose a privacy-preserving semantic-segmentation method for applying perceptual encryption to images used for model training in addition to test images. This method also provi…
cs.CV2024
Privacy-Preserving Vision Transformer Using Images Encrypted with Restricted Random Permutation Matrices
Kouki Horio, Kiyoshi Nishikawa, Hitoshi Kiya
We propose a novel method for privacy-preserving fine-tuning vision transformers (ViTs) with encrypted images. Conventional methods using encrypted images degrade model performance…