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Disrupting adversarial transferability in deep neural networks
Summary: Adversarial attack transferability is well recognized in deep learning. Previous work has partially explained transferability by recognizing common adversarial subspaces and correlations between decision boundaries, but little is known beyond that. We propose that transferability between se...
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| Huvudupphovsmän: | , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
Elsevier
2022-05-01
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| Serie: | Patterns |
| Ämnen: | |
| Länkar: | http://www.sciencedirect.com/science/article/pii/S2666389922000526 |
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