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VERSION:2.0
PRODID:-//University of Liverpool Computer Science Seminar System//v2//EN
BEGIN:VEVENT
DTSTAMP:20260430T055608Z
UID:Seminar-verification-1336@lxserverM.csc.liv.ac.uk
ORGANIZER:CN=Patrick Totzke:MAILTO:totzke@liverpool.ac.uk
DTSTART:20260423T110000
DTEND:20260423T120000
SUMMARY:Verification Series
DESCRIPTION:Guangliang Cheng: Explainable Deepfake Detection: Leveraging Vision-Language Models for Multimedia Authentication\n\nThis presentation addresses the pressing challenge of multimedia authenticity in the era of generative AI, and explores how vision-language models can drive deepfake detection beyond binary classification toward interpretable, localizable, and verifiable authentication. Covering images, videos, and unified multimodal social media content, the talk presents our recent advances in large-scale benchmark construction, forgery detection and localization, cross-modal explanation, and deployable demonstration systems, including SIDA, So-Fake, BusterX, and Omni-Fake. By moving from detection to trustworthy understanding, this presentation highlights a broader vision for building transparent and reliable AI-powered infrastructures for the future digital society.\n\nhttps://www.csc.liv.ac.uk/research/seminars/abstract.php?id=1336
LOCATION:Ashton 208
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