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Implement low frequency adversarial perturbation strategy #51

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ririnicolae opened this issue Apr 22, 2019 · 8 comments · Fixed by #469
Closed

Implement low frequency adversarial perturbation strategy #51

ririnicolae opened this issue Apr 22, 2019 · 8 comments · Fixed by #469
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attack Implement a new attack method enhancement New feature or request

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@ririnicolae
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This is a black-box attack search strategy allowing to reduce the number of queries to a model by 2-4x. It is based on discrete cosine transform (DCT). This selection strategy can be combined with existing black-box attacks, e.g., the paper proves effectiveness with NES and boundary attack. This should be implemented as a wrapper if possible, to allow the usage with existing black-box attacks in ART.

Paper link: https://arxiv.org/abs/1809.08758

@ririnicolae ririnicolae added enhancement New feature or request attack Implement a new attack method labels Apr 22, 2019
@minhitbk minhitbk assigned minhitbk and unassigned minhitbk Apr 23, 2019
@minhitbk minhitbk self-assigned this May 28, 2019
@rish-16
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rish-16 commented Oct 7, 2019

@beat-buesser Hello there, could you please assign this issue to me? I'll get started on it.

@beat-buesser beat-buesser assigned rish-16 and unassigned minhitbk Oct 7, 2019
@beat-buesser
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@rish-16 Thank you! And let us know here if you have questions or need support.

@beat-buesser beat-buesser added this to the ART v1.1.0 milestone Oct 7, 2019
@rish-16
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rish-16 commented Oct 8, 2019

Will do. Thank you

@beat-buesser beat-buesser removed this from the ART v1.1.0 milestone Jan 8, 2020
@beat-buesser
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Hi @rish-16 Have you been able to make progress with this issue?

@beat-buesser
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Hi @rish-16 Are you still working on this issue?

@kztakemoto
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@ririnicolae Our implementation in ART I forked may be useful.
https://github.com/kztakemoto/SimBA-Keras

@ririnicolae
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@kztakemoto Would you like to pull request to ART your implementation of this attack?

@kztakemoto
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@ririnicolae thanks. I pull requested. #469

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Labels
attack Implement a new attack method enhancement New feature or request
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5 participants