Results 21 to 30 of about 1,207 (163)
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
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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The Emergence of Deepfake Technology: A Review
Technology Innovation Management Review, 2019 Novel digital technologies make it increasingly difficult to distinguish between real and fake media. One of the most recent developments contributing to the problem is the emergence of deepfakes which are hyper-realistic videos that apply artificial ...
Mika Westerlund
doaj +1 more source
DeepFake the menace: mitigating the negative impacts of AI-generated content [PDF]
Organizational Cybersecurity JournalPurpose – Recent years have witnessed an unexpected and astonishing rise of AI-generated (AIGC), thanks to the rapid advancement of technology and the omnipresence of social media.
Siwei Lyu
doaj +1 more source
AFMB-Net: DeepFake Detection Network Using Heart Rate Analysis
Tehnički Glasnik, 2022 With advances in deepfake generating technology, it is getting increasingly difficult to detect deepfakes. Deepfakes can be used for many malpractices such as blackmail, politics, social media, etc.
A. Vinay +6 more
doaj
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
Deepfake detection models and methods in artificial intelligence and insights from media and social culture perspective [PDF]
مدیریت نوآوری و راهبردهای عملیاتیPurpose: This study explores the phenomenon of deepfakes as a consequence of rapid advancements in artificial intelligence, machine learning, and deep learning technologies over the past decade.
Soheil Fakheri +2 more
doaj +1 more source
L’énonciation à l’épreuve de l’« I.A. ». Qu’est-ce- qu’énoncer veut dire ?
Interfaces Numériques, 2022 Comment, les « deepfakes » peuvent-ils faire sens s’ils « signifient » sans « faire signe » ? C’est du point de vue de l’énonciation ou plutôt de la coénonciation, c’est-à-dire de l’échange entre énonciateurs et co-énonciateurs, ceux qui perçoivent ...
Nicole Pignier
doaj +1 more source
Deepfakes: Trick or treat? [PDF]
Business Horizons, 2020 Although manipulations of visual and auditory media are as old as the media themselves, the recent entrance of deepfakes has marked a turning point in the creation of fake content. Powered by latest technological advances in AI and machine learning, they offer automated procedures to create fake content that is harder and harder to detect to human ...
Jan Kietzmann +3 more
openaire +3 more sources