Digital Security

EURECOM is opening a PhD position in the Digital Security Department in the area of audio deepfake detection, speech forensics, and explainable artificial intelligence. The position is part of the Horizon Europe project DEFORM — Deepfake detection and Explainability using FOundation Representation Models — which aims to develop trustworthy AI-based forensic tools for the detection, explanation, and interpretation of manipulated or synthetic audio, image, and video evidence.

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.

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”.