Construct · 1 fields · 1 citations

universal adversarial perturbation: a standalone construct

One name. One construct. A landmark on the map.

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universal adversarialperturbation1 CONSTRUCTUniversal adversarialMOOSAVI-DEZFOOLI · MACHINE

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Machine learning security

a single small image-agnostic perturbation that causes a classifier to mislabel most natural images it is added to.

In machine learning security, universal adversarial perturbation refers to a single small image-agnostic perturbation that causes a classifier to mislabel most natural images it is added to. This meaning comes from Moosavi-Dezfooli (2016) in arXiv.[1]

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Nearby constructs

adversarial example1 fields · 1 citationsanchor · a standalone constructlearning6 fields · 14 citationsjingle · one name, six constructsnatural3 fields · 7 citationsjingle · one word, three constructs

References

  1. Moosavi-Dezfooli, S., Fawzi, A., Fawzi, O., & Frossard, P. (2016). Universal adversarial perturbations. arXiv. https://doi.org/10.48550/arxiv.1610.08401

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