Results 21 to 30 of about 11,860 (198)
DEEPFAKE CLI: Accelerated Deepfake Detection Using FPGAs
, 2023 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
“Stunning and creepy…I gotta learn this”: Exploring Concepts of Information Ethics in Deepfake Creation Tutorials on YouTube [PDF]
, 2022 Deepfakes combine artificial intelligence with machine deep learning to produce manipulated images and are made to appear hyperrealistic to viewers (Westerlund, 2019), complicating, if not, preventing viewers from separating fact from fiction and eroding
Vera, Alexander
core +2 more sources
Tragic Realism: How to regulate Deepfakes in Colombia?
Latin American Law Review, 2022 Recent technological advances in artificial intelligence and machine learning have made it possible to create fake videos that look authentic. As these videos—known as “DeepFakes”— leave few traces of manipulation, they can be used to spread false ...
Juan Felipe Rodrigo López
doaj +1 more source
Frontiers in Psychology, 2023 Deepfakes are a troubling form of disinformation that has been drawing increasing attention. Yet, there remains a lack of psychological explanations for deepfake sharing behavior and an absence of research knowledge in non-Western contexts where public ...
Saifuddin Ahmed +2 more
doaj +1 more source
TECCOGS: Revista Digital de Tecnologias Cognitivas, 2021 O termo “fake news” começou a povoar as mídias sociais, principalmente a partir de 2016, em função das eleições à presidência dos Estados Unidos. Estudos apontam que as notícias falsas acabam tendo um número maior de compartilhamento do que publicações de sites idôneos, podendo inclusive influenciar no resultado da eleição.
Thaïs Helena Falcão Botelho +1 more
openaire +2 more sources
Deep Learning Approach for Detecting Audio Deepfakes in Urdu
NUML International Journal of Engineering and Computing, 2023 The application of Deep Learning algorithms for speech synthesis has led to the widespread generation of Audio Deepfakes, which are becoming a real threat to voice interfaces. Audio Deepfakes are fake audio recordings that are difficult to differentiate
Marium Mateen
doaj +1 more source
Fooled twice: People cannot detect deepfakes but think they can
iScience, 2021 Summary: Hyper-realistic manipulations of audio-visual content, i.e., deepfakes, present new challenges for establishing the veracity of online content. Research on the human impact of deepfakes remains sparse.
Nils C. Köbis +2 more
doaj +1 more source
The battle to end fake news: A qualitative content analysis of Facebook announcements on how it combats disinformation [PDF]
, 2019 The recent spread of online disinformation has been profound and has played a central role in the growth of populist sentiments around the world. Facilitating its progression has been politically and economically motivated culprits who have ostensibly ...
Iosifidis, P., Nicoli, N.
core +1 more source
Cyber Vaccine for Deepfake Immunity
IEEE Access, 2023 Deepfakes pose an evolving cybersecurity threat that calls for the development of automated countermeasures. While considerable forensic research has been devoted to the detection and localisation of deepfakes, solutions for ‘fake-to-real’ ...
Ching-Chun Chang +3 more
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Challenges associated with generative forms of multimedia content (keynote talk) [PDF]
, 2019 This short paper presents what is currently the main challenge associated with using Generative Adversarial Networks (GANs) to generate visual media.
Smeaton, Alan F.
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