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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 …
multimedia content can now provide a very advanced level of realism. The boundary …
A comprehensive survey on passive techniques for digital video forgery detection
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 …
are widely transferred over social networking websites such as Facebook, Instagram …
Leveraging frequency analysis for deep fake image recognition
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 …
it is often hard for humans to distinguish them from actual photos. These achievements have …
Deepfake video detection using recurrent neural networks
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 …
believable face swaps in videos that leaves few traces of manipulation, in what are known …
Video face manipulation detection through ensemble of cnns
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.) …
successfully developed and made available to the masses (ie, FaceSwap, deepfake, etc.) …
Attributing fake images to gans: Learning and analyzing gan fingerprints
Abstract Recent advances in Generative Adversarial Networks (GANs) have shown
increasing success in generating photorealistic images. But they also raise challenges to …
increasing success in generating photorealistic images. But they also raise challenges to …
Faceforensics: A large-scale video dataset for forgery detection in human faces
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 …
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
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 …
that merge, combine, replace and superimpose images and video clips onto a video …
Faceforensics++: Learning to detect manipulated facial images
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 …
where it raises significant concerns for the implications towards society. At best, this leads to …
Driverless vehicle security: Challenges and future research opportunities
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 …
to exploit vulnerabilities introduced by the technologies that underpin such vehicles for a …