17 citations · 50 across the 27 of their papers we have counts for
28 papers
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…
Echoes: A semantically-aligned music deepfake detection dataset
Octavian Pascu, Dan Oneata, Horia Cucu +1
We introduce Echoes, a new dataset for music deepfake detection designed for training and benchmarking detectors under realistic and provider-diverse conditions. Echoes comprises 4…
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 Fircă, Antonio Bărbălau, 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…
The mutual exclusivity bias of bilingual visually grounded speech models
Dan Oneata, Leanne Nortje, Yevgen Matusevych +1
Mutual exclusivity (ME) is a strategy where a novel word is associated with a novel object rather than a familiar one, facilitating language learning in children. Recent work has f…
Seeing What Tastes Good: Revisiting Multimodal Distributional Semantics in the Billion Parameter Era
Dan Oneata, Desmond Elliott, Stella Frank
Human learning and conceptual representation is grounded in sensorimotor experience, in contrast to state-of-the-art foundation models. In this paper, we investigate how well such…