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Andrew Trask

Exploring the Relevance of Data Privacy-Enhancing Technologies for AI Governance Use Cases

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Mar 20, 2023
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Towards General-purpose Infrastructure for Protecting Scientific Data Under Study

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Oct 04, 2021
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Sensitivity analysis in differentially private machine learning using hybrid automatic differentiation

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Jul 09, 2021
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DP-SGD vs PATE: Which Has Less Disparate Impact on Model Accuracy?

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Jun 22, 2021
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Syft 0.5: A Platform for Universally Deployable Structured Transparency

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Apr 27, 2021
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Privacy-preserving medical image analysis

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Dec 10, 2020
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Neither Private Nor Fair: Impact of Data Imbalance on Utility and Fairness in Differential Privacy

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Oct 03, 2020
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Benchmarking Differentially Private Residual Networks for Medical Imagery

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Jun 28, 2020
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The Future of Digital Health with Federated Learning

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Mar 18, 2020
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Scaling shared model governance via model splitting

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Dec 14, 2018
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