About
I’m Paul Largillier, a PhD student at CEA-List under the supervision of Cédric Gouy-Pailler and Oana Stan, working toward more secure Federated Learning.
My research sits at the intersection of homomorphic encryption (FHE) and federated learning.
Background
I completed two years of classes préparatoires (MPSI/MP) before joining ESILV (École Supérieure d’Ingénieurs Léonard de Vinci), where I developed a strong foundation in mathematics and computer science. I then joined CEA-List to pursue my PhD.
Publications
Nothing published yet — I’m at the early stages of my thesis. A first paper is currently under review. Stay tuned.
Languages
- French — native
- English — advanced
- Korean — beginner (한국어 조금 해요)
This Site
This is my personal space for sharing research notes, blog posts on cryptography, machine learning, and anything else I find worth writing about. Feel free to reach out via LinkedIn or GitHub.
Professional Experience
PhD – Toward More Secure Federated Learning
- Research at the intersection of homomorphic encryption and federated learning.
- Supervised by Cédric Gouy-Pailler and Oana Stan.
R&D Intern – Homomorphic Encryption & Federated Learning
- State of the art on threshold homomorphic encryption and federated learning.
- Design and development of a federated learning framework integrating threshold FHE.
- Benchmarking gRPC applied to federated learning; evaluation of the Lattigo library.
- Security analysis of a distributed protocol based on gRPC with a Go FHE library.
Cybersecurity Intern – Pentest & OSINT
- Web and infrastructure penetration testing.
- Development of a tool integrating OSINT tools into the pentest reconnaissance workflow.
- Contribution to the renewal of the PASSI certification.
Cybersecurity Intern – Cryptography
- Python scripting for network enumeration in pentesting contexts.
- Cryptographic transition advisory for a European aerospace subcontractor.
- Implementation and cryptanalysis of a NIST post-quantum candidate (Giophantus) using SageMath.
Education
International Semester – Mathematics & Computer Science
- Microprocessors, hardware vulnerabilities and countermeasures.
- Final project on embedded systems and performance optimization in constrained environments.
- Advanced C++ programming and algorithm analysis.
Engineering Degree – Cybersecurity & IoT, Mathematics & Computer Science
- Specialization in cybersecurity, cryptography, IoT and cloud.
- Quantum track focused on post-quantum cryptography and quantum computing.
- Industry-oriented projects in offensive security, audits and innovation.
Classes Préparatoires aux Grandes Écoles – MPSI / MP
- Two intensive years in mathematics, physics and engineering sciences.