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09/08/2022
Taking Advice from (Dis)Similar Machines: The Impact of Human-Machine Similarity on Machine-Assisted Decision-Making
Machine learning algorithms are increasingly used to assist human decisi...
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09/24/2021
Towards a Governance Framework for Brain Data
The increasing availability of brain data within and outside the biomedi...
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02/27/2021
Constrained Differentially Private Federated Learning for Low-bandwidth Devices
Federated learning becomes a prominent approach when different entities ...
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11/10/2020
Compression Boosts Differentially Private Federated Learning
Federated Learning allows distributed entities to train a common model c...
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10/15/2020
Federated Learning in Adversarial Settings
Federated Learning enables entities to collaboratively learn a shared pr...
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08/04/2020
DESIRE: A Third Way for a European Exposure Notification System Leveraging the best of centralized and decentralized systems
This document presents an evolution of the ROBERT protocol that decentra...
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01/08/2020
Techniques d'anonymisation tabulaire : concepts et mise en oeuvre
In this document, we present a state of the art of anonymization techniq...
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08/22/2018
