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Dragos-Alexandru Boldisor

2 accepted papers

2026

Investigating Self-Supervised Representations for Audio-Visual Deepfake Detection

CVPR 2026

Self-supervised representations excel at many vision and speech tasks, but their potential for audio-visual deepfake detection remains underexplored. Unlike prior work that uses these features in isolation or buried within complex architectures, we systematically evaluate them across modalities (aud

Cited by 0SourcecodeScholar
2025

Circumventing Shortcuts in Audio-visual Deepfake Detection Datasets with Unsupervised Learning

CVPR 2025highlight

Good datasets are essential for developing and benchmarking any machine learning system. Their importance is even more extreme for safety critical applications such as deepfake detection - the focus of this paper. Here we reveal that two of the most widely used audio-video deepfake datasets suffer f…