Block-wise Image Transformation with Secret Key for Adversarially Robust Defense

by   MaungMaung AprilPyone, et al.

In this paper, we propose a novel defensive transformation that enables us to maintain a high classification accuracy under the use of both clean images and adversarial examples for adversarially robust defense. The proposed transformation is a block-wise preprocessing technique with a secret key to input images. We developed three algorithms to realize the proposed transformation: Pixel Shuffling, Bit Flipping, and FFX Encryption. Experiments were carried out on the CIFAR-10 and ImageNet datasets by using both black-box and white-box attacks with various metrics including adaptive ones. The results show that the proposed defense achieves high accuracy close to that of using clean images even under adaptive attacks for the first time. In the best-case scenario, a model trained by using images transformed by FFX Encryption (block size of 4) yielded an accuracy of 92.30 attack with a noise distance of 8/255, which is close to the non-robust accuracy (95.45 72.18 the standard accuracy (73.70 proposed algorithms are demonstrated to outperform state-of-the-art defenses including adversarial training whether or not a model is under attack.



page 1

page 7

page 13


Encryption Inspired Adversarial Defense for Visual Classification

Conventional adversarial defenses reduce classification accuracy whether...

Ensemble of Models Trained by Key-based Transformed Images for Adversarially Robust Defense Against Black-box Attacks

We propose a voting ensemble of models trained by using block-wise trans...

Self-Supervised Iterative Contextual Smoothing for Efficient Adversarial Defense against Gray- and Black-Box Attack

We propose a novel and effective input transformation based adversarial ...

Enhancing Transformation-based Defenses using a Distribution Classifier

Adversarial attacks on convolutional neural networks (CNN) have gained s...

Adversarial Defense via Image Denoising with Chaotic Encryption

In the literature on adversarial examples, white box and black box attac...

An Overview of Compressible and Learnable Image Transformation with Secret Key and Its Applications

This article presents an overview of image transformation with a secret ...

Adversarial Robustness Against Image Color Transformation within Parametric Filter Space

We propose Adversarial Color Enhancement (ACE), a novel approach to gene...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.