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FDIP: Enhancing Protection in Face De-identification Via Imperceptible Perturbations

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s11390-019-1898-8openalex-snapshot
Privacy-Protective-GAN for Privacy Preserving Face De-Identification
inferredcites →https://doi.org/10.1016/j.neucom.2022.06.039openalex-snapshot
IdentityDP: Differential private identification protection for face images
inferredcites →https://doi.org/10.1038/s41746-024-01233-2openalex-snapshot
Privacy-preserving large language models for structured medical information retrieval
inferredcites →https://doi.org/10.1038/s42256-021-00417-9openalex-snapshot
AI-generated characters for supporting personalized learning and well-being
inferredcites →https://doi.org/10.1109/tifs.2024.3356233openalex-snapshot
SecureReID: Privacy-Preserving Anonymization for Person Re-Identification
inferredcites →https://doi.org/10.1109/tmm.2022.3200310openalex-snapshot
F-TPE: Flexible Thumbnail-Preserving Encryption Based on Multi-Pixel Sum-Preserving Encryption
inferredcites →https://doi.org/10.1109/tmm.2023.3257566openalex-snapshot
Federated Adversarial Domain Hallucination for Privacy-Preserving Domain Generalization
inferredcites →https://doi.org/10.1109/tmm.2023.3268369openalex-snapshot
Discriminative Identity-Feature Exploring and Differential Aware Learning for Unsupervised Person Re-Identification
inferredcites →https://doi.org/10.1109/tmm.2023.3270636openalex-snapshot
Relation-Preserving Feature Embedding for Unsupervised Person Re-Identification
inferredcites →https://doi.org/10.1109/tmm.2023.3277758openalex-snapshot
Model-Guided Generative Adversarial Networks for Unsupervised Fine-Grained Image Generation
inferredcites →https://doi.org/10.1109/tmm.2023.3278989openalex-snapshot
Quality Assessment of Tone-Mapped Images Using Fundamental Color and Structural Features
inferredcites →https://doi.org/10.1145/3679013openalex-snapshot
When Federated Learning Meets Privacy-Preserving Computation
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