A reinforcement learning approach adapts general generative models to produce synthetic data that boosts identity recognition accuracy and generalization under privacy constraints.
Contrastive-generative-contrastive: Neutralize subjectivity in sketch re-identification.IEEE Transactions on Informa- tion Forensics and Security, 2025
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Reinforcement-Guided Synthetic Data Generation for Privacy-Sensitive Identity Recognition
A reinforcement learning approach adapts general generative models to produce synthetic data that boosts identity recognition accuracy and generalization under privacy constraints.