Contrastive privacy is a new corpus-contrast test for semantic privacy in AI-sanitized media that uses latent concept measures and requires no manual labeling.
Differentially private imaging via latent space manipulation,
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A framework that perturbs private semantic representations with learnable DP noise via GAN inversion and adversarial training to secure image SemCom over wiretap channels with tunable privacy levels.
citing papers explorer
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Contrastive Privacy: A Semantic Approach to Measuring Privacy of AI-based Sanitization
Contrastive privacy is a new corpus-contrast test for semantic privacy in AI-sanitized media that uses latent concept measures and requires no manual labeling.
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Privacy-Preserving Semantic Communication over Wiretap Channels with Learnable Differential Privacy
A framework that perturbs private semantic representations with learnable DP noise via GAN inversion and adversarial training to secure image SemCom over wiretap channels with tunable privacy levels.