Digital Security

The primary technical goal of this position is to participate in the maturation of EURECOM's research academic hybrid fuzzing tools. The core technology stack includes SymQEMU, SymCC, and LibAFL/LibAFL-QEMU. These tools facilitate hybrid fuzzing using concolic execution for incremental coverage and discovery of new program paths and vulnerabilities.

EURECOM’s Digital Security Department is seeking a highly motivated PhD candidate to join the GOOD-BIAS! research project, supported by the French National Research Agency (ANR). This project addresses one of today’s most pressing challenges: ensuring fairness, robustness, and transparency in AI-driven face recognition systems.

This work is part of a new national collaborative project in France ANR ASTRID Guerre Cognitive, proposed by EURECOM specialized in computer vision and IRCAM specialized in audio, entitled: “Fight against deepfakes of French personalities”.