4 citations · 7 across the 6 of their papers we have counts for
6 papers
Access Control with Encrypted Feature Maps for Object Detection Models
Teru Nagamori, Hiroki Ito, AprilPyone MaungMaung +1
In this paper, we propose an access control method with a secret key for object detection models for the first time so that unauthorized users without a secret key cannot benefit f…
Access Control of Semantic Segmentation Models Using Encrypted Feature Maps
Hiroki Ito, AprilPyone MaungMaung, Sayaka Shiota +1
In this paper, we propose an access control method with a secret key for semantic segmentation models for the first time so that unauthorized users without a secret key cannot bene…
Access Control of Object Detection Models Using Encrypted Feature Maps
Teru Nagamori, Hiroki Ito, April Pyone Maung Maung +1
In this paper, we propose an access control method for object detection models. The use of encrypted images or encrypted feature maps has been demonstrated to be effective in acces…
Access Control Using Spatially Invariant Permutation of Feature Maps for Semantic Segmentation Models
Hiroki Ito, MaungMaung AprilPyone, Hitoshi Kiya
In this paper, we propose an access control method that uses the spatially invariant permutation of feature maps with a secret key for protecting semantic segmentation models. Segm…
Protecting Semantic Segmentation Models by Using Block-wise Image Encryption with Secret Key from Unauthorized Access
Hiroki Ito, MaungMaung AprilPyone, Hitoshi Kiya
Since production-level trained deep neural networks (DNNs) are of a great business value, protecting such DNN models against copyright infringement and unauthorized access is in a…
Image Transformation Network for Privacy-Preserving Deep Neural Networks and Its Security Evaluation
Hiroki Ito, Yuma Kinoshita, Hitoshi Kiya
We propose a transformation network for generating visually-protected images for privacy-preserving DNNs. The proposed transformation network is trained by using a plain image data…