Results 11 to 20 of about 6,295 (185)
Deepfake Generation and Detection: Case Study and Challenges
IEEE Access, 2023 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
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TweepFake: About detecting deepfake tweets
PLOS ONE, 2021 The recent advances in language modeling significantly improved the generative capabilities of deep neural models: in 2019 OpenAI released GPT-2, a pre-trained language model that can autonomously generate coherent, non-trivial and human-like text samples. Since then, ever more powerful text generative models have been developed.
Fagni T +4 more
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ClueCatcher: Catching Domain-Wise Independent Clues for Deepfake Detection
Mathematics, 2023 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
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 ...
Bhilare, Omkar +5 more
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International Journal for Research in Applied Science and Engineering TechnologyThis project, "Deepfake Detection Using Deep Learning," addresses the growing threat of deepfake technology in digital security. It presents a machine learning framework to detect manipulated videos accurately by preprocessing video frames, extracting facial features using dlib and MTCNN, and employing a Gated Recurrent Unit (GRU) model for sequence ...
Burgupally, Prajwal +3 more
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DeepFake on Face and Expression Swap: A Review
IEEE Access, 2023 Remarkable advances have been made in deep learning, leading to the emergence of highly realistic AI-generated videos known as deepfakes. Deepfakes use generative models to manipulate facial features to create modified identities or expressions with ...
Saima Waseem +5 more
doaj +1 more source
DeepFake-Adapter: Dual-Level Adapter for DeepFake Detection
International Journal of Computer Vision, 2023 IJCV 2025.
Rui Shao +3 more
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Role of Artificial Intelligence (AI) art in care of ageing society: focus on dementia [PDF]
, 2019 open access articleBackground: Art enhances both physical and mental health wellbeing. The health benefits include reduction in blood pressure, heart rate, pain perception and briefer inpatient stays, as well as improvement of communication skills and ...
Harwood, Tracy +2 more
core +1 more source
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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A Survey on Deepfake Video Detection
IET Biometrics, 2021 Recently, deepfake videos, generated by deep learning algorithms, have attracted widespread attention. Deepfake technology can be used to perform face manipulation with high realism.
Peipeng Yu +3 more
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