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Preprint
Beyond Deepfake Images: Detecting AI-Generated Videos
arXiv.org
24 Apr 2024
Abstract
Recent advances in generative AI have led to the development of techniques to
generate visually realistic synthetic video. While a number of techniques have
been developed to detect AI-generated synthetic images, in this paper we show
that synthetic image detectors are unable to detect synthetic videos. We
demonstrate that this is because synthetic video generators introduce
substantially different traces than those left by image generators. Despite
this, we show that synthetic video traces can be learned, and used to perform
reliable synthetic video detection or generator source attribution even after
H.264 re-compression. Furthermore, we demonstrate that while detecting videos
from new generators through zero-shot transferability is challenging, accurate
detection of videos from a new generator can be achieved through few-shot
learning.
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Details
- Title
- Beyond Deepfake Images: Detecting AI-Generated Videos
- Creators
- Danial Samadi VahdatiTai D NguyenAref AzizpourMatthew C Stamm
- Publication Details
- arXiv.org
- Resource Type
- Preprint
- Language
- English
- Academic Unit
- Electrical and Computer Engineering; Computer Science
- Other Identifier
- 991021872813504721