Arthur Pignet — accepted AI-conference papers

2025

Legitimate ground-truth-free metrics for deep uncertainty classification scoring

Arthur Pignet, Chiara Regniez, John Klein

AISTATS 2025poster

Despite the increasing demand for safer machine learning practices, the use of Uncertainty Quantification (UQ) methods in production remains limited. This limitation is exacerbated by the challenge of validating UQ methods in absence of UQ ground truth. In classification tasks, when only a usual se…

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2023

SRATTA: Sample Re-ATTribution Attack of Secure Aggregation in Federated Learning.

Tanguy Marchand, Regis Loeb, Ulysse Marteau-Ferey, Jean Ogier du Terrail, Arthur Pignet

ICML 2023poster

We consider a federated learning (FL) setting where a machine learning model with a fully connected first layer is trained between different clients and a central server using FedAvg, and where the aggregation step can be performed with secure aggregation (SA). We present SRATTA an attack relying on…

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