Deep Model Intellectual Property Protection via Deep Watermarking
Despite the tremendous success, deep neural networks are exposed to serious IP infringement risks. Given a target deep model, if the attacker knows its full information, it can be easily stolen by fine-tuning. Even if only its output is accessible, a surrogate model can be trained through student-te...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 44(2022), 8 vom: 10. Aug., Seite 4005-4020
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| 1. Verfasser: |
Zhang, Jie
(VerfasserIn) |
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| Weitere Verfasser: |
Chen, Dongdong,
Liao, Jing,
Zhang, Weiming,
Feng, Huamin,
Hua, Gang,
Yu, Nenghai |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2022
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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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