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What is Unveiling Synthetic Faces about?

This paper investigates the privacy implications of synthetic face recognition datasets, revealing that they often leak information from the real datasets used to train generative models. Through a membership inference attack, the authors demonstrate that several synthetic datasets contain samples from their original training data, highlighting significant privacy concerns. This work is the first to document such leakage, emphasizing the need for responsible generation of synthetic datasets in the field of

Author

AVIROOP MITRA

Language

EN