Found 4 document(s)
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In this paper, we present the first Federated Learning (FL) framework which is secure against both confidentiality and integrity threats from the aggregation server, in the case where the resulting model is not disclosed...
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With the proliferation of continuous data generation, data stream processing has become a key topic in research. As a consequence, the need for dedicated tools to apply continuous learning in streams emerges. This paper ...
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This paper investigates the theory of robustness against adversarial attacks. It focuses on the family of randomization techniques that consist in injecting noise in the network at inference time. These techniques have p...
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Les Interfaces Cerveau-Machines (ICMs) visent à établir un moyen de communication direct entre le cerveau humain et un système électronique. Si d'importantes avancées ont d'ores et déjà été réalisées depuis une vingtaine...