| CPC G06F 21/6218 (2013.01) [G06N 3/04 (2013.01); G06N 3/08 (2013.01)] | 20 Claims |
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1. A compute device comprising:
processing circuitry;
a memory coupled to the processing circuitry, the memory including instructions that, when executed by the processing circuitry, cause the processing circuitry to perform operations for differential privacy (DP) deep learning (DL) model generation, the operations comprising:
instantiating a privacy odometer including privacy filters of different sizes;
training a DL model;
maintaining, during the training and by the privacy odometer that operates using the privacy filters, a running total of privacy loss budget consumed by the training; and
responsive to a query for the running total of the privacy loss budget consumed, returning, by the privacy odometer, a size of a smallest privacy filter of the privacy filters that is bigger than the running total of the privacy loss budget.
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