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

SOC 2 Manager, Audit and Certification

@ Deloitte | US and CA Multiple Locations

Cybersecurity Engineer

@ Booz Allen Hamilton | USA, VA, Arlington (1550 Crystal Dr Suite 300) non-client

Invoice Compliance Reviewer

@ AC Disaster Consulting | Fort Myers, Florida, United States - Remote

Technical Program Manager II - Compliance

@ Microsoft | Redmond, Washington, United States

Head of U.S. Threat Intelligence / Senior Manager for Threat Intelligence

@ Moonshot | Washington, District of Columbia, United States

Customer Engineer, Security, Public Sector

@ Google | Virginia, USA; Illinois, USA