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11/03/2022
GRAIMATTER Green Paper: Recommendations for disclosure control of trained Machine Learning (ML) models from Trusted Research Environments (TREs)
TREs are widely, and increasingly used to support statistical analysis o...
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07/13/2022
Enhanced Security and Privacy via Fragmented Federated Learning
In federated learning (FL), a set of participants share updates computed...
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07/05/2022
Defending against the Label-flipping Attack in Federated Learning
Federated learning (FL) provides autonomy and privacy by design to parti...
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06/09/2022
A Critical Review on the Use (and Misuse) of Differential Privacy in Machine Learning
We review the use of differential privacy (DP) for privacy protection in...
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08/04/2021
Secure and Privacy-Preserving Federated Learning via Co-Utility
The decentralized nature of federated learning, that often leverages the...
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12/12/2020
Achieving Security and Privacy in Federated Learning Systems: Survey, Research Challenges and Future Directions
Federated learning (FL) allows a server to learn a machine learning (ML)...
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11/04/2020
