13 citations · 53 across the 13 of their papers we have counts for
Showing 2020 · cs.CRShow all
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cs.CR2020★ 5 cited
Federated Learning in Adversarial Settings
Raouf Kerkouche, Gergely Ács, Claude Castelluccia
Federated Learning enables entities to collaboratively learn a shared prediction model while keeping their training data locally. It prevents data collection and aggregation and, t…
cs.CR2020★ 1 cited
In Search of Lost Utility: Private Location Data
Szilvia Lestyán, Gergely Ács, Gergely Biczók
The unavailability of training data is a permanent source of much frustration in research, especially when it is due to privacy concerns. This is particularly true for location dat…