Controller design of a robotic assistant for the transport of large and fragile objects. - Julie Dumora; Julien Nicolas; Franck Geffard (IROS, 2022)

MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning. - Julien Nicolas; Florent Chiaroni; Imtiaz Masud Ziko; Ola Ahmad; Christian Desrosiers; Jose Dolz (WACV, 2024)

Differentially private and decentralized randomized power method. - Julien Nicolas; César Sabater; Mohamed Maouche; Sonia Ben Mokhtar; Mark Coates (CoRR, 2024)

Scrutinizing the Vulnerability of Decentralized Learning to Membership Inference Attacks. - Ousmane Touat; Jezekael Brunon; Yacine Belal; Julien Nicolas; Mohamed Maouche; César Sabater; Sonia Ben Mokhtar (CoRR, 2024)

Secure Federated Graph-Filtering for Recommender Systems. - Julien Nicolas; César Sabater; Mohamed Maouche; Sonia Ben Mokhtar; Mark Coates (CoRR, 2025)

Communication Efficient, Differentially Private Distributed Optimization using Correlation-Aware Sketching. - Julien Nicolas; Mohamed Maouche; Sonia Ben Mokhtar; Mark Coates (CoRR, 2025)