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Found 9 papers, 0 papers with code
A Random Ensemble of Encrypted Vision Transformers for Adversarially Robust Defense
Deep neural networks (DNNs) are well known to be vulnerable to adversarial examples (AEs).
A Random Ensemble of Encrypted models for Enhancing Robustness against Adversarial Examples
In previous studies, it was confirmed that the vision transformer (ViT) is more robust against the property of adversarial transferability than convolutional neural network (CNN) models such as ConvMixer, and moreover encrypted ViT is more robust than ViT without any encryption.
Monitoring with Rich Data
We consider moral hazard problems where a principal has access to rich monitoring data about an agent's action.
Enhanced Security against Adversarial Examples Using a Random Ensemble of Encrypted Vision Transformer Models
In previous studies, it was confirmed that the vision transformer (ViT) is more robust against the property of adversarial transferability than convolutional neural network (CNN) models such as ConvMixer, and moreover encrypted ViT is more robust than ViT without any encryption.
On the Adversarial Transferability of ConvMixer Models
Deep neural networks (DNNs) are well known to be vulnerable to adversarial examples (AEs).
An Access Control Method with Secret Key for Semantic Segmentation Models
A novel method for access control with a secret key is proposed to protect models from unauthorized access in this paper.
An Encryption Method of ConvMixer Models without Performance Degradation
In an experiment, the effectiveness of the proposed method is evaluated in terms of classification accuracy and model protection in an image classification task on the CIFAR10 dataset.
Image and Model Transformation with Secret Key for Vision Transformer
In this paper, we propose a combined use of transformed images and vision transformer (ViT) models transformed with a secret key.
Protection of SVM Model with Secret Key from Unauthorized Access
In this paper, we propose a block-wise image transformation method with a secret key for support vector machine (SVM) models.
