May 8, 2024, 4:42 a.m. | Darius Afchar, Gabriel Meseguer Brocal, Romain Hennequin

cs.LG updates on arXiv.org arxiv.org

arXiv:2405.04181v1 Announce Type: cross
Abstract: In the face of a new era of generative models, the detection of artificially generated content has become a matter of utmost importance. The ability to create credible minute-long music deepfakes in a few seconds on user-friendly platforms poses a real threat of fraud on streaming services and unfair competition to human artists. This paper demonstrates the possibility (and surprising ease) of training classifiers on datasets comprising real audio and fake reconstructions, achieving a convincing …

abstract arxiv become create credible cs.lg cs.sd deepfakes detection easy eess.as face fraud generated generative generative models importance matter music platforms services streaming streaming services threat type

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US