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Jan Aalmoes

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Conference and Workshop Papers

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2024
[c3]
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Jan Aalmoes, Vasisht Duddu, Antoine Boutet:
On the Alignment of Group Fairness with Attribute Privacy. WISE (2) 2024: 333-348
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Samuel Pélissier, Jan Aalmoes, Abhishek Kumar Mishra, Mathieu Cunche, Vincent Roca, Didier Donsez:
Privacy-Preserving Pseudonyms for LoRaWAN. WISEC 2024: 14-19
2022
[c1]
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  - conf/middleware/LebrunBAB22
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Thomas Lebrun, Antoine Boutet, Jan Aalmoes, Adrien Baud:
MixNN: protection of federated learning against inference attacks by mixing neural network layers. Middleware 2022: 135-147

Informal and Other Publications

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2022
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Jan Aalmoes, Vasisht Duddu, Antoine Boutet:
Leveraging Algorithmic Fairness to Mitigate Blackbox Attribute Inference Attacks. CoRR abs/2211.10209 (2022)
2021
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  - journals/corr/abs-2109-12550
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Antoine Boutet, Thomas Lebrun, Jan Aalmoes, Adrien Baud:
MixNN: Protection of Federated Learning Against Inference Attacks by Mixing Neural Network Layers. CoRR abs/2109.12550 (2021)

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