Forgery Localization

Forgery localization aims to pinpoint manipulated regions within digital images and videos, a crucial task given the proliferation of sophisticated deepfakes and other forms of media manipulation. Current research emphasizes developing robust and generalizable methods, often employing deep learning architectures like transformers and convolutional neural networks, that can handle diverse forgery techniques and modalities (image, video, audio). This field is vital for combating misinformation and ensuring media authenticity, with applications ranging from law enforcement to online content verification.