5 citations · 5 across the 2 of their papers we have counts for
3 papers
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…
Watch Out for the Lifespan: Evaluating Backdoor Attacks Against Federated Model Adaptation
Bastien Vuillod, Pierre-Alain Moellic, Jean-Max Dutertre
Large models adaptation through Federated Learning (FL) addresses a wide range of use cases and is enabled by Parameter-Efficient Fine-Tuning techniques such as Low-Rank Adaptation…
Digital Typhoon: Long-term Satellite Image Dataset for the Spatio-Temporal Modeling of Tropical Cyclones
Asanobu Kitamoto, Jared Hwang, Bastien Vuillod +3
This paper presents the official release of the Digital Typhoon dataset, the longest typhoon satellite image dataset for 40+ years aimed at benchmarking machine learning models for…