From the 1 of 11 linked papers with an AI index.
11 papers
Echoes: A semantically-aligned music deepfake detection dataset
Octavian Pascu, Dan Oneata, Horia Cucu +1
The paper presents Echoes, a new dataset of AI‑generated and real music tracks designed for robust deepfake detection, featuring semantic alignment between spoofed audio and genuin…
Detecting Audio Deepfakes on the Edge:Lightweight SSL-Based Detection in a Browser Plugin
Octavian Pascu, Dan Oneata, Horia Cucu +1
Audio deepfakes are a growing challenge for the general public, as well as for journalists and fact-checkers. The latter need reliable tools to verify the authenticity of their sou…
Investigating self-supervised representations for audio-visual deepfake detection
Dragos-Alexandru Boldisor, Stefan Smeu, Dan Oneata +1
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 th…
Not All Splits Are Equal: Rethinking Attribute Generalization Across Unrelated Categories
Liviu Nicolae FircÄ, Antonio BÄrbÄlau, Dan Oneata +1
Can models generalize attribute knowledge across semantically and perceptually dissimilar categories? While prior work has addressed attribute prediction within narrow taxonomic or…
Improved Visually Prompted Keyword Localisation in Real Low-Resource Settings
Leanne Nortje, Dan Oneata, Gabriel Pirlogeanu +1
Given an image query, visually prompted keyword localisation (VPKL) aims to find occurrences of the depicted word in a speech collection. This can be useful when transcriptions are…
Unmasking real-world audio deepfakes: A data-centric approach
David Combei, Adriana Stan, Dan Oneata +2
The growing prevalence of real-world deepfakes presents a critical challenge for existing detection systems, which are often evaluated on datasets collected just for scientific pur…