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Official implementations of "Latent Diffusion Models for Attribute-Preserving Image Anonymization" and "Harnessing Foundation Models for Image Anonymization".
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The anonym library is designed to anonymize sensitive data in Python, allowing users to work with, share, or publish their data without compromising privacy or violating data protection regulations.
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