Leveraging transfer learning for large scale differentially private image classification

Posted by Harsh Mehta, Software Engineer, and Walid Krichene, Research Scientist, Google Research

Large deep learning models are becoming the workhorse of a variety of critical machine learning (ML) tasks. However, it has been shown that without any protection it is plausible for bad actors to attack a variety of models, across modalities, to reveal information from individual training examples. As such, it’s essential to protect against this sort of information leakage.

Differential privacy (DP) provides formal protection against an …

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