111 citations
- Centre National de la Recherche ScientifiqueFR21 papers
- Thales (France)FR21 papers
- Université Paris-SaclayFR15 papers
- Thales (Portugal)PT11 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR6 papers
- Laboratoire Albert FertFR6 papers
- Université Paris CitéFR5 papers
- Université Paris-SudFR5 papers
- CentraleSupélecFR4 papers
- Laboratoire de Physique de l'Ecole Normale SupérieureFR4 papers
- Centre de Nanosciences et de NanotechnologiesFR3 papers
- Centre National d'Études SpatialesFR3 papers
8 papers · 1 filter
ORCA: Unveiling Obscure Containers In The Wild
Jacopo Bufalino, Agathe Blaise, Stefano Secci
Modern software development increasingly depends on open-source libraries and third-party components, which are often encapsulated into containerized environments. While improving…
Formal Verification of Local Robustness of a Classification Algorithm for a Spatial Use Case
Delphine Longuet, Amira Elouazzani, Alejandro Penacho Riveiros +1
Failures in satellite components are costly and challenging to address, often requiring significant human and material resources. Embedding a hybrid AI-based system for fault detec…
Entanglement Management in Space-Based Quantum Information Networks
Luca Paccard, Agathe Blaise, Fabrice Arnal +1
With the evolution of quantum computing, quantum sensing and secure quantum communication protocols, the demand for global development of Quantum Information Networks (QIN) has bec…
The Role of the Satellite in Quantum Information Networks
Luca Paccard, Valentin Leloup, Luca Lazzarini +13
Quantum Information Networks (QIN) attract increasing interest, as they will enable interconnection of multiple quantum devices in a distributed organization thus enhancing intrins…
High Performance Parallel Solvers for the time-harmonic Maxwell Equations
Elise Fressart, Sébastien Dubois, Loïc Gouarin +3
We consider the numerical solution of large scale time-harmonic Maxwell equations. To this day, this problem remains difficult, in particular because the equations are neither Herm…
Bayesian Robust Aggregation for Federated Learning
Aleksandr Karakulev, Usama Zafar, Salman Toor +1
Federated Learning enables collaborative training of machine learning models on decentralized data. This scheme, however, is vulnerable to adversarial attacks, when some of the cli…