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cs.CR2026
Model Poisoning Against Federated Model Adaptation with Chain of Bit-Flips
Bastien Vuillod, Kevin Hector, Pierre-Alain Moellic +2
Federated Learning (FL) allows a set of clients to collectively train a global model without sharing local training data. Giving the responsibility of the training to decentralized…
cs.CR2023
Fault Injection on Embedded Neural Networks: Impact of a Single Instruction Skip
Clement Gaine, Pierre-Alain Moellic, Olivier Potin +1
With the large-scale integration and use of neural network models, especially in critical embedded systems, their security assessment to guarantee their reliability is becoming an…