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cs.CL2020
Privacy Guarantees for De-identifying Text Transformations
David Ifeoluwa Adelani, Ali Davody, Thomas Kleinbauer +1
Machine Learning approaches to Natural Language Processing tasks benefit from a comprehensive collection of real-life user data. At the same time, there is a clear need for protect…
cs.LG2020
On the effect of normalization layers on Differentially Private training of deep Neural networks
Ali Davody, David Ifeoluwa Adelani, Thomas Kleinbauer +1
Differentially private stochastic gradient descent (DPSGD) is a variation of stochastic gradient descent based on the Differential Privacy (DP) paradigm, which can mitigate privacy…