Adversarial attacks on cross-resolution person re-identification

Zhikang Song

doi:10.1117/12.2667907

28 March 2023 Adversarial attacks on cross-resolution person re-identification

Zhikang Song

Proceedings Volume 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022); 125662J (2023) https://doi.org/10.1117/12.2667907
Event: Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 2022, Chongqing, China

Abstract

Person Re-Identification (re-ID) is a task that involves matching individuals captured by various cameras and in various poses. And because of the uncertainty of input image resolution in practice, traditional Person Re-Identification tends to have poor performance. Cross-Resolution Person re-ID is a hot branch of Person re-ID that aims to address the image with a different resolution. Besides, Person re-ID has been applied in lots of fields because of its practicality, including public security systems. Therefore, this poses a challenge to the security of the re-ID model. This paper discusses the results of attacks on PS-HRNet, VGG16, and ResNet networks using the Fast Gradient Sign Method. The experiment result of this paper proves the effectiveness of the Fast Gradient Sign Method on Cross-Resolution Person Re-Identification. It tests the transferable of the adversarial samples generated by the Fast Gradient Sign Method.

Citation Download Citation

Zhikang Song "Adversarial attacks on cross-resolution person re-identification", Proc. SPIE 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 125662J (28 March 2023); https://doi.org/10.1117/12.2667907

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KEYWORDS

Machine learning

Super resolution

Statistical modeling

Data modeling

Cameras

Image resolution

Visual process modeling

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