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Author

Eric Sauser

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Jul 2026

TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction

This work proposes TrustCLIP, a reconstruction-driven framework that treats a feature-conditioned generator as an explicit privacy adversary and learns a projection between encoder features and downstream modules that is explicitly optimized to degrade the reconstructions produced by generative attackers while retainin...

Nikos Athanasiou, Ilya A. Petrov, Angela Yao et al. · 0 citations

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