Distortion-aware adversarial attack against steganalysis detectors

Weini Zeng

doi:10.1117/12.2653594

8 December 2022 Distortion-aware adversarial attack against steganalysis detectors

Weini Zeng

Proceedings Volume 12474, Second International Symposium on Computer Technology and Information Science (ISCTIS 2022); 1247409 (2022) https://doi.org/10.1117/12.2653594
Event: Second International Symposium on Computer Technology and Information Science (ISCTIS 2022), 2022, Guilin, China

Abstract

This paper analyzes the similarity between steganography and adversarial attack, and then analyzes the attack and defense stage of adversarial samples from the perspective of steganography, which provides a broader idea for researchers in this field. This paper validates the efficiency of steganography on help resisting adversarial attack and proposes a steganalysis based method to enhance the adversarial attack against steganalysis detectors with the help of a distortion function. We combine the distortion map with gradient information to select the disturbed pixels in each attack iteration to generate adversarial samples that can bypass steganalysis detectors. The results show that steganography technology can help detecting normal adversarial samples, and our enhanced adversarial samples achieve a much higher transparency rate against our steganography based method than other normal adversarial samples.

Citation Download Citation

Weini Zeng "Distortion-aware adversarial attack against steganalysis detectors", Proc. SPIE 12474, Second International Symposium on Computer Technology and Information Science (ISCTIS 2022), 1247409 (8 December 2022); https://doi.org/10.1117/12.2653594

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