Attack to Fool and Explain Deep Networks
Deep visual models are susceptible to adversarial perturbations to inputs. Although these signals are carefully crafted, they still appear noise-like patterns to humans. This observation has led to the argument that deep visual representation is misaligned with human perception. We counter-argue by...
Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 44(2022), 10 vom: 01. Okt., Seite 5980-5995 |
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Auteur principal: | |
Autres auteurs: | , , |
Format: | Article en ligne |
Langue: | English |
Publié: |
2022
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Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence |
Sujets: | Journal Article Research Support, Non-U.S. Gov't |
Accès en ligne |
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