Abstract: Deep neural network models are vulnerable to adversarial perturbations that are subtle but change the model predictions.

Adversarial Attacks and Defense on Deep Learning Classification Models using YCbCr Color Images · 8 Citations · 48 References.

Adversarial perturbations are generally computed for RGB images and are, hence, equally distributed among the RGB channels. We show, for the first time, that ...

Adversarial perturbations are generally computed for RGB images and are, hence, equally distributed among the. RGB channels. We show, for the first time, that ...

Moreover, using a YC b C r representation of the image pixels, which is also part of the JPEG compression pipeline, is beneficial for both adversarial attacks ...

Code and information related to paper IJCNN 2021 paper "Adversarial Attacks and Defense on Deep Learning Classification Models using YCbCr Color Images".

Jul 18, 2021 · Deep neural network models are vulnerable to adversarial perturbations that are subtle but change the model predictions.

Adversarial Attacks and Defense on Deep Learning Classification Models using YCbCr Color Images.

Abstract—The notion of adversarial attacks on image classification models based on convolutional neural networks. (CNN) is introduced in this work.

Jan 29, 2024 · In this paper, we propose generating semantically preserved adversarial examples by perturbing the frequency band energy corresponding to inconspicuous colors ...