Can I read Natias: Neuron Attribution based Transferable Image Adversarial Steganography on EtoBox?

Natias: Neuron Attribution based Transferable Image Adversarial Steganography by Fan, Zexin; Chen, Kejiang; Zeng, Kai; Zhang, Jiansong; Zhang, Weiming; Yu, Nenghai is a scholarly article available to read on EtoBox.

What is Natias: Neuron Attribution based Transferable Image Adversarial Steganography about?

Image steganography is a technique to conceal secret messages within digital images. Steganalysis, on the contrary, aims to detect the presence of secret messages within images. Recently, deep-learning-based steganalysis methods have achieved excellent detection performance. As a countermeasure, adversarial steganography has garnered considerable attention due to its ability to effectively deceive deep-learning-based steganalysis. However, steganalysts often employ unknown steganalytic models for detection. Therefore, the ability of adversarial steganography to deceive non-target steganalytic models, known as transferability, becomes especially important. Nevertheless, existing adversarial steganographic methods do not consider how to enhance transferability. To address this issue, we propose a novel adversarial steganographic scheme named Natias. Specifically, we first attribute the output of a steganalytic model to each neuron in the target middle layer to identify critical features. Next, we corrupt these critical features that may be adopted by diverse steganalytic models. Consequently, it can promote the transferability of adversarial steganography. Our proposed method can be

Author

Fan, Zexin; Chen, Kejiang; Zeng, Kai; Zhang, Jiansong; Zhang, Weiming; Yu, Nenghai

Published

2024

Language

EN