Recoverable facial identity protection via adaptive makeup transfer adversarial attacks
Unauthorised face recognition (FR) systems have posed significant threats to digital identity and privacy protection. To alleviate the risk of compromised identities, recent makeup transfer-based attack methods embed adversarial signals in order to confuse unauthorised FR systems. However, their maj...
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| Main Authors: | , , , , , , , |
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| Format: | Default Conference proceeding |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://hdl.handle.net/2134/28182995.v1 |
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