Murat Bilgehan Ertan

Closed-Form Noise Calibration Against Membership Inference for Random-Allocation DP-SGD

DP-SGD protects training data by adding Gaussian noise to clipped gradients. The amount of noise is usually chosen by running a numerical privacy accountant inside a search. We study DP-SGD with random allocation, where each epoch uses every record once, at a randomly chosen step. For this setting we give a one-line fo...