April 1, 2024, 4:11 a.m. | Govind Mittal, Chinmay Hegde, Nasir Memon

cs.CR updates on arXiv.org arxiv.org

arXiv:2210.06186v3 Announce Type: replace
Abstract: With the rise of AI-enabled Real-Time Deepfakes (RTDFs), the integrity of online video interactions has become a growing concern. RTDFs have now made it feasible to replace an imposter's face with their victim in live video interactions. Such advancement in deepfakes also coaxes detection to rise to the same standard. However, existing deepfake detection techniques are asynchronous and hence ill-suited for RTDFs. To bridge this gap, we propose a challenge-response approach that establishes authenticity in …

arxiv challenge cs.ai cs.cr cs.cv deepfake deepfake detection detection real response video

Information Security Engineers

@ D. E. Shaw Research | New York City

Technology Security Analyst

@ Halton Region | Oakville, Ontario, Canada

Senior Cyber Security Analyst

@ Valley Water | San Jose, CA

COMM Penetration Tester (PenTest-2), Chantilly, VA OS&CI Job #368

@ Allen Integrated Solutions | Chantilly, Virginia, United States

Consultant Sécurité SI H/F Gouvernance - Risques - Conformité

@ Hifield | Sèvres, France

Infrastructure Consultant

@ Telefonica Tech | Belfast, United Kingdom