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20132026
most citedMedia Forensics and DeepFakes: an overview

952 citations · 2.4k across the 45 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cs.CV2019

SpoC: Spoofing Camera Fingerprints

Davide Cozzolino, Justus Thies, Andreas Rössler +2

Thanks to the fast progress in synthetic media generation, creating realistic false images has become very easy. Such images can be used to wrap "rich" fake news with enhanced cred…

cs.CV2019

Incremental learning for the detection and classification of GAN-generated images

Francesco Marra, Cristiano Saltori, Giulia Boato +1

Current developments in computer vision and deep learning allow to automatically generate hyper-realistic images, hardly distinguishable from real ones. In particular, human face g…

cs.CV2019

A Full-Image Full-Resolution End-to-End-Trainable CNN Framework for Image Forgery Detection

Francesco Marra, Diego Gragnaniello, Luisa Verdoliva +1

Due to limited computational and memory resources, current deep learning models accept only rather small images in input, calling for preliminary image resizing. This is not a prob…

cs.CV2019★ 6 cited

Perceptual Quality-preserving Black-Box Attack against Deep Learning Image Classifiers

Diego Gragnaniello, Francesco Marra, Giovanni Poggi +1

Deep neural networks provide unprecedented performance in all image classification problems, taking advantage of huge amounts of data available for training. Recent studies, howeve…

cs.CV2019

FaceForensics++: Learning to Detect Manipulated Facial Images

Andreas Rössler, Davide Cozzolino, Luisa Verdoliva +3

The rapid progress in synthetic image generation and manipulation has now come to a point where it raises significant concerns for the implications towards society. At best, this l…