Adversarial Robustness Via Fisher-Rao Regularization
Adversarial robustness has become a topic of growing interest in machine learning since it was observed that neural networks tend to be brittle. We propose an information-geometric formulation of adversarial defense and introduce Fire, a new Fisher-Rao regularization for the categorical cross-entrop...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 3 vom: 12. März, Seite 2698-2710
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| 1. Verfasser: |
Picot, Marine
(VerfasserIn) |
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| Weitere Verfasser: |
Messina, Francisco,
Boudiaf, Malik,
Labeau, Fabrice,
Ayed, Ismail Ben,
Piantanida, Pablo |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2023
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article |
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