Deepfake detection by exploiting surface anomalies: the SurFake approach

arXiv:2310.20621v2 Announce Type: replace
Abstract: The ever-increasing use of synthetically generated content in different sectors of our everyday life, one for all media information, poses a strong need for deepfake detection tools in order to avoid the proliferation of altered messages. The process to identify manipulated content, in particular images and videos, is basically performed by looking for the presence of some inconsistencies and/or anomalies specifically due to the fake generation process. Different techniques exist in the scientific literature that …

abstract arxiv cs.cv deepfake detection detection tools ever generated identify images information life media messages process surface tools type