Jean-Luc Dugelay — accepted AI-conference papers

2025

RAW Data: A Key Component for Effective Deepfake Detection

ICASSP 2025accepted

Current deepfake detection methods are prone to overfitting to specific deepfake artifacts and often struggle with genuine images that have undergone compression and other image processing operations. These processes can obscure indicators of forgery, leading to inaccurate decisions. This paper aims…

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2023

A 3D-Assisted Framework to Evaluate the Quality of Head Motion Replication by Reenactment DEEPFAKE Generators

Sahar Husseini, Jean-Luc Dugelay, Fabien Aili, Emmanuel Nars

ICASSP 2023accepted

In recent years we have assisted the proliferation of deepfakes. The progress concerning both creation and, to a certain extent, automatic detection is spectacular. Nevertheless, there is a lack of protocols concerning the objective evaluation of deepfakes. In this article, we focus on the quality o…

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