On the Alignment of Group Fairness with Attribute Privacy

no code implementations • 18 Nov 2022 • Jan Aalmoes, Vasisht Duddu, Antoine Boutet

We are the first to demonstrate the alignment of group fairness with the specific privacy notion of attribute privacy in a blackbox setting.

Attribute Fairness +1

Dikaios: Privacy Auditing of Algorithmic Fairness via Attribute Inference Attacks

no code implementations • 4 Feb 2022 • Jan Aalmoes, Vasisht Duddu, Antoine Boutet

This unpredictable effect of fairness mechanisms on the attribute privacy risk is an important limitation on their utilization which has to be accounted by the model builder.

Attribute Fairness +1

MixNN: Protection of Federated Learning Against Inference Attacks by Mixing Neural Network Layers

no code implementations • 26 Sep 2021 • Antoine Boutet, Thomas Lebrun, Jan Aalmoes, Adrien Baud

Boosted by Machine Learning as a Service (MLaaS), the number of applications relying on ML capabilities is ever increasing.

Attribute Federated Learning +2