MIT researchers created a new data privacy metric, Probably Approximately Correct (PAC) Privacy. (IMAGE)
Caption
MIT researchers created a new data privacy metric, Probably Approximately Correct (PAC) Privacy, and built an algorithm based on this metric that can automatically determine the minimal amount of randomness that needs to be added to a machine-learning model to protect sensitive data, like sensitive lung scan images, from an adversary.
Credit
Jose-Luis Olivares/MIT, with figures from iStock
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