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03/15/2023
Exploring the Relevance of Data Privacy-Enhancing Technologies for AI Governance Use Cases
The development of privacy-enhancing technologies has made immense progr...
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01/15/2023
UN Handbook on Privacy-Preserving Computation Techniques
This paper describes privacy-preserving approaches for the statistical a...
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10/04/2021
Towards General-purpose Infrastructure for Protecting Scientific Data Under Study
The scientific method presents a key challenge to privacy because it req...
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07/09/2021
Sensitivity analysis in differentially private machine learning using hybrid automatic differentiation
In recent years, formal methods of privacy protection such as differenti...
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06/22/2021
DP-SGD vs PATE: Which Has Less Disparate Impact on Model Accuracy?
Recent advances in differentially private deep learning have demonstrate...
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12/15/2020
Beyond Privacy Trade-offs with Structured Transparency
Many socially valuable activities depend on sensitive information, such ...
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12/10/2020
Privacy-preserving medical image analysis
The utilisation of artificial intelligence in medicine and healthcare ha...
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09/10/2020
Neither Private Nor Fair: Impact of Data Imbalance on Utility and Fairness in Differential Privacy
Deployment of deep learning in different fields and industries is growin...
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04/15/2020
Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims
With the recent wave of progress in artificial intelligence (AI) has com...
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12/14/2018
Scaling shared model governance via model splitting
Currently the only techniques for sharing governance of a deep learning ...
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11/09/2018
A generic framework for privacy preserving deep learning
We detail a new framework for privacy preserving deep learning and discu...
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09/27/2018
Sample Efficient Adaptive Text-to-Speech
We present a meta-learning approach for adaptive text-to-speech (TTS) wi...
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08/01/2018
Neural Arithmetic Logic Units
Neural networks can learn to represent and manipulate numerical informat...
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11/19/2015