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05/29/2023
Federated Learning of Gboard Language Models with Differential Privacy
We train language models (LMs) with federated learning (FL) and differen...
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research
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05/29/2023
Unleashing the Power of Randomization in Auditing Differentially Private ML
We present a rigorous methodology for auditing differentially private ma...
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02/06/2023
One-shot Empirical Privacy Estimation for Federated Learning
Privacy auditing techniques for differentially private (DP) algorithms a...
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09/21/2020
Training Production Language Models without Memorizing User Data
This paper presents the first consumer-scale next-word prediction (NWP) ...
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05/09/2019
Differentially Private Learning with Adaptive Clipping
We introduce a new adaptive clipping technique for training learning mod...
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12/15/2018
A General Approach to Adding Differential Privacy to Iterative Training Procedures
In this work we address the practical challenges of training machine lea...
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12/07/2018
