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Can private data be recovered from “sanitized” images?
Innovation and Research
March 12, 2021
Help Net Security
Researchers at the NYU Tandon School of Engineering found that PP-GAN designs can be subverted to pass privacy checks, while still allowing secret information to be extracted from sanitized images.
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Facial Recognition Algorithms
Privacy-Preserving GANs
Generative Adversarial Networks (GANs)
Data Privacy Issues
Sanitized Images
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