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whj363636 avatar whj363636 commented on August 28, 2024

You're right. It is impractical to make attacks on captured photos directly. But the motivation of our paper is to examine the robustness of ReID systems and to engage the community in designing a more robust ReID system, which is crucial for the applications with security-sensitive purposes. The real-world attack (like https://www.cs.cmu.edu/~sbhagava/papers/face-rec-ccs16.pdf) is indeed an important and potential direction of our work, but a good (transferable/controllable/inconspicuous) generation of adversarial perturbation is always the first task :).

As for other image retrieval tasks, we did perform an attack on Baidu APIs for Human Detection and Attributes but did not conduct experiments on Oxford building or CUB2011 datasets. But we believe that the algorithm is suitable for any problem which can be considered as / converted to a ranking problem.

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fiona-lxd avatar fiona-lxd commented on August 28, 2024

Thank you for your reply. I'll have a try with it on other image retrieval tasks.

from adversarial-attack-on-person-reid-with-deep-mis-ranking.

whj363636 avatar whj363636 commented on August 28, 2024

OK. I will temporarily close the issue. Feel free to re-open it whenever something big happens :).

from adversarial-attack-on-person-reid-with-deep-mis-ranking.

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