Feb. 21, 2024, 5:11 a.m. | Yan Pang, Yang Zhang, Tianhao Wang

cs.CR updates on arXiv.org arxiv.org

arXiv:2402.13126v1 Announce Type: new
Abstract: With the rapid advancement in video generation, people can conveniently utilize video generation models to create videos tailored to their specific desires. Nevertheless, there are also growing concerns about their potential misuse in creating and disseminating false information.
In this work, we introduce VGMShield: a set of three straightforward but pioneering mitigations through the lifecycle of fake video generation. We start from \textit{fake video detection} trying to understand whether there is uniqueness in generated videos …

advancement arxiv can cs.ai cs.cr cs.cv cs.lg eess.iv generative generative models information people rapid video videos work

CyberSOC Technical Lead

@ Integrity360 | Sandyford, Dublin, Ireland

Cyber Security Strategy Consultant

@ Capco | New York City

Cyber Security Senior Consultant

@ Capco | Chicago, IL

Sr. Product Manager

@ MixMode | Remote, US

Corporate Intern - Information Security (Year Round)

@ Associated Bank | US WI Remote

Senior Offensive Security Engineer

@ CoStar Group | US-DC Washington, DC