Postdoctoral Researcher · EURECOM

Sofiane Azogagh

Security · Applied Cryptography · Machine Learning

I am a Postdoctoral Researcher at EURECOM, working with Melek Önen on security and privacy in the context of Machine Learning. My current research centers on prompt injection attacks and defenses for LLMs, alongside a range of privacy-enhancing technologies such as Federated Learning, Homomorphic Encryption, and Private Set Intersection.

In 2026, I completed my PhD at Université du Québec à Montréal (UQÀM) under the supervision of Marc-Olivier Killijian and Sébastien Gambs. My thesis focused on the design of oblivious algorithms on encrypted data using homomorphic encryption to enhance data privacy in machine learning. I also worked on privacy-preserving graph analysis (PageRank, Common Neighbors, etc.).