NeurIPS Contributed Talk #2: On the (Im)Possibility of Private Machine Learning through Instance Encoding

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Oral
in
Workshop: Privacy Preserving Machine Learning - PriML and PPML Joint Edition

Contributed Talk #2: On the (Im)Possibility of Private Machine Learning through Instance Encoding

Nicholas Carlini

Abstract: