Read the original article: Can private data be recovered from “sanitized” images?
Machine learning systems are becoming pervasive not only in technologies affecting our day-to-day lives, but also in those observing them, including face expression recognition systems. Companies that make and use such widely deployed services rely on so-called privacy preservation tools that often use generative adversarial networks (GANs), typically produced by a third party to scrub images of individuals’ identity. But how good are they? Researchers at the NYU Tandon School of Engineering, who explored the … More
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Read the original article: Can private data be recovered from “sanitized” images?