VGMShield: Mitigating Misuse of Video Generative Models

arXiv:2402.13126v1 Announce Type: cross
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 …

abstract advancement arxiv concerns cs.ai cs.cr cs.cv cs.lg eess.iv false generative generative models information misuse people set type video video generation videos work