BorealisAI / private-data-generation

A toolbox for differentially private data generation
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Regarding the Hyper-parameter sigma while computing the epsilon. #5

Open adityakunar opened 3 years ago

adityakunar commented 3 years ago

In the RDP accountant function, the noise multiplier is defined as the noise scale added to the gaussian for perturbing the gradients divided by the sensitivity which is Sigma*C/2C where sigma is the noise hyper-parameter, C is the clipping coefficient. However, in your RDP function, you only pass Sigma as the input for the noise multiplier. Shouldn't this be corrected or am I missing something ?