9 citations · 16 across the 7 of their papers we have counts for
12 papers
GRAIMATTER Green Paper: Recommendations for disclosure control of trained Machine Learning (ML) models from Trusted Research Environments (TREs)
Emily Jefferson, James Liley, Maeve Malone +16
TREs are widely, and increasingly used to support statistical analysis of sensitive data across a range of sectors (e.g., health, police, tax and education) as they enable secure a…
Secure and Privacy-Preserving Federated Learning via Co-Utility
Josep Domingo-Ferrer, Alberto Blanco-Justicia, Jesús Manjón +1
The decentralized nature of federated learning, that often leverages the power of edge devices, makes it vulnerable to attacks against privacy and security. The privacy risk for a…
Achieving Security and Privacy in Federated Learning Systems: Survey, Research Challenges and Future Directions
Alberto Blanco-Justicia, Josep Domingo-Ferrer, Sergio Martínez +3
Federated learning (FL) allows a server to learn a machine learning (ML) model across multiple decentralized clients that privately store their own training data. In contrast with…
The Limits of Differential Privacy (and its Misuse in Data Release and Machine Learning)
Josep Domingo-Ferrer, David Sánchez, Alberto Blanco-Justicia
Differential privacy (DP) is a neat privacy definition that can co-exist with certain well-defined data uses in the context of interactive queries. However, DP is neither a silver…
General Confidentiality and Utility Metrics for Privacy-Preserving Data Publishing Based on the Permutation Model
Josep Domingo-Ferrer, Krishnamurty Muralidhar, Maria Bras-Amorós
Anonymization for privacy-preserving data publishing, also known as statistical disclosure control (SDC), can be viewed under the lens of the permutation model. According to this m…
Multi-Dimensional Randomized Response
Josep Domingo-Ferrer, Jordi Soria-Comas
In our data world, a host of not necessarily trusted controllers gather data on individual subjects. To preserve her privacy and, more generally, her informational self-determinati…