Results 11 to 20 of about 12,335 (200)
Is Deepfake Diversity Real? : Analyzing the Diversity of Deepfake Avatars [PDF]
Deepfake technology is increasingly integrated into global mobile and web services when human representation is not feasible or cost-effective. Our analysis of 202 deepfake avatars from three deepfake providers reveals significant demographic disparities
Al Tamime, Reham +4 more
core +2 more sources
DeepFake MNIST+: A DeepFake Facial Animation Dataset [PDF]
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Jiajun Huang +4 more
openaire +2 more sources
Die Wirklichkeit, also das tatsächliche Gefüge der Welt und des Weltalls, ist für den Menschen nur sehr eingeschränkt erfahrbar. Die menschlichen Sinne sind begrenzt, ein Hund hört viel besser als wir und unser Auge nimmt nur bestimmte Spektren des Lichts wahr. Physisch sind wir – noch – an die Erde gebunden.
Yair Sharan +2 more
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A deepfake is a video, audio or other content (e.g. image) that is completely or partially fabricated or created by manipulating existing, real content. Just as fake news calls into question the authenticity of real news, deepfake also calls into question the authenticity of real content.
Gosztonyi, Gergely +1 more
openaire +3 more sources
DeepFake-o-meter: An Open Platform for DeepFake Detection [PDF]
In recent years, the advent of deep learning-based techniques and the significant reduction in the cost of computation resulted in the feasibility of creating realistic videos of human faces, commonly known as DeepFakes. The availability of open-source tools to create DeepFakes poses as a threat to the trustworthiness of the online media. In this work,
Yuezun Li +4 more
openaire +3 more sources
Deepfake attack prevention using steganography GANs [PDF]
Background Deepfakes are fake images or videos generated by deep learning algorithms. Ongoing progress in deep learning techniques like auto-encoders and generative adversarial networks (GANs) is approaching a level that makes deepfake detection ideally ...
Iram Noreen +2 more
doaj +2 more sources
Deepfake Generation and Detection: Case Study and Challenges
In smart communities, social media allowed users easy access to multimedia content. With recent advancements in computer vision and natural language processing, machine learning (ML), and deep learning (DL) models have evolved.
Yogesh Patel +7 more
doaj +1 more source
DEEPFAKE CLI: Accelerated Deepfake Detection Using FPGAs
Because of the availability of larger datasets and recent improvements in the generative model, more realistic Deepfake videos are being produced each day. People consume around one billion hours of video on social media platforms every day, and thats why it is very important to stop the spread of fake videos as they can be damaging, dangerous, and ...
Omkar Bhilare +5 more
openaire +2 more sources
Deepfake Technology: A Criminological Literature Review
Cybercrimes are rapidly evolving with the advancement of technology and reaching new dimensions. Deepfake technology, which is the subject of this article, has also become a part of cybercrime.
Fatih Arslan
doaj +1 more source
ClueCatcher: Catching Domain-Wise Independent Clues for Deepfake Detection
Deepfake detection is a focus of extensive research to combat the proliferation of manipulated media. Existing approaches suffer from limited generalizability and struggle to detect deepfakes created using unseen techniques.
Eun-Gi Lee, Isack Lee, Seok-Bong Yoo
doaj +1 more source

