Media forensics and deepfakes: an overview

L Verdoliva - IEEE journal of selected topics in signal …, 2020 - ieeexplore.ieee.org
With the rapid progress in recent years, techniques that generate and manipulate
multimedia content can now provide a very advanced level of realism. The boundary …

A comprehensive survey on passive techniques for digital video forgery detection

NA Shelke, SS Kasana - Multimedia Tools and Applications, 2021 - Springer
Digital videos are one of the most widespread forms of multimedia in day to day life. These
are widely transferred over social networking websites such as Facebook, Instagram …

Leveraging frequency analysis for deep fake image recognition

J Frank, T Eisenhofer, L Schönherr… - International …, 2020 - proceedings.mlr.press
Deep neural networks can generate images that are astonishingly realistic, so much so that
it is often hard for humans to distinguish them from actual photos. These achievements have …

Deepfake video detection using recurrent neural networks

D Güera, EJ Delp - 2018 15th IEEE international conference on …, 2018 - ieeexplore.ieee.org
In recent months a machine learning based free software tool has made it easy to create
believable face swaps in videos that leaves few traces of manipulation, in what are known …

Video face manipulation detection through ensemble of cnns

N Bonettini, ED Cannas, S Mandelli… - 2020 25th …, 2021 - ieeexplore.ieee.org
In the last few years, several techniques for facial manipulation in videos have been
successfully developed and made available to the masses (ie, FaceSwap, deepfake, etc.) …

Attributing fake images to gans: Learning and analyzing gan fingerprints

N Yu, LS Davis, M Fritz - Proceedings of the IEEE/CVF …, 2019 - openaccess.thecvf.com
Abstract Recent advances in Generative Adversarial Networks (GANs) have shown
increasing success in generating photorealistic images. But they also raise challenges to …

Faceforensics: A large-scale video dataset for forgery detection in human faces

A Rössler, D Cozzolino, L Verdoliva, C Riess… - arxiv preprint arxiv …, 2018 - arxiv.org
With recent advances in computer vision and graphics, it is now possible to generate videos
with extremely realistic synthetic faces, even in real time. Countless applications are …

Determining authenticity of video evidence in the age of artificial intelligence and in the wake of Deepfake videos

MH Maras, A Alexandrou - The international journal of …, 2019 - journals.sagepub.com
Deepfake videos are the product of artificial intelligence or machine-learning applications
that merge, combine, replace and superimpose images and video clips onto a video …

Faceforensics++: Learning to detect manipulated facial images

A Rossler, D Cozzolino, L Verdoliva… - Proceedings of the …, 2019 - openaccess.thecvf.com
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 leads to …

Driverless vehicle security: Challenges and future research opportunities

G De La Torre, P Rad, KKR Choo - Future Generation Computer Systems, 2020 - Elsevier
As self-driving vehicles become increasingly popular, new generations of attackers will seek
to exploit vulnerabilities introduced by the technologies that underpin such vehicles for a …