Person
Mathilde Aliénor Raynal
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On the (In)security of Peer-to-Peer Decentralized Machine Learning
Carmela González Troncoso, Mathilde Aliénor Raynal, Dario Pasquini
In this work, we carry out the first, in-depth, privacy analysis of Decentralized Learning-a collaborative machine learning framework aimed at addressing the main limitations of federated learning. We introduce a suite of novel attacks for both passive and ...
IEEE COMPUTER SOC2023HyperLogLog: Exponentially Bad in Adversarial Settings
Computing the count of distinct elements in large data sets is a common task but naive approaches are memory-expensive. The HyperLogLog (HLL) algorithm (Flajolet et al., 2007) estimates a data set's cardinality while using significantly less memory than a ...
IEEE COMPUTER SOC2022