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03/12/2022
Wasserstein Adversarial Transformer for Cloud Workload Prediction
Predictive Virtual Machine (VM) auto-scaling is a promising technique to...
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10/08/2020
Differentially Private Deep Learning with Direct Feedback Alignment
Standard methods for differentially private training of deep neural netw...
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09/07/2020
Scaling up Differentially Private Deep Learning with Fast Per-Example Gradient Clipping
Recent work on Renyi Differential Privacy has shown the feasibility of a...
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06/16/2020
Building a Collaborative Phone Blacklisting System with Local Differential Privacy
Spam phone calls have been rapidly growing from nuisance to an increasin...
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09/18/2019
Renyi Differentially Private ADMM for Non-Smooth Regularized Optimization
In this paper we consider the problem of minimizing composite objective ...
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09/18/2019
Renyi Differentially Private ADMM Based L1 Regularized Classification
In this paper we present two new algorithms, to solve the L1 regularized...
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08/28/2018
Concentrated Differentially Private Gradient Descent with Adaptive per-Iteration Privacy Budget
Iterative algorithms, like gradient descent, are common tools for solvin...
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04/11/2018
