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Found 2 papers, 1 papers with code
Differentially Private Active Learning: Balancing Effective Data Selection and Privacy
This work addresses this gap by introducing differentially private active learning (DP-AL) for standard learning settings.
Visual Privacy Auditing with Diffusion Models
Data reconstruction attacks on machine learning models pose a substantial threat to privacy, potentially leaking sensitive information.
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