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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
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Journal of Multidisciplinary KnowledgeThe spread of DeepFake media presents serious threats to digital security and authenticity. In this study, the DenseNet-121 architecture trained on RGB and grayscale datasets is used to compare DeepFake picture detection. To improve feature separability, a hybrid classification pipeline that included Principal Component Analysis (PCA) and Support ...
Prerna Kumari, Vikas Kumar
+5 more sources
Understanding the Security of Deepfake Detection
, 2022 Deepfakes pose growing challenges to the trust of information on the Internet. Thus, detecting deepfakes has attracted increasing attentions from both academia and industry. State-of-the-art deepfake detection methods consist of two key components, i.e., face extractor and face classifier, which extract the face region in an image and classify it to be
Xiaoyu Cao, Neil Zhenqiang Gong
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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
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
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.
core +1 more source
Artificial intelligence and UK national security: Policy considerations [PDF]
, 2020 RUSI was commissioned by GCHQ to conduct an independent research study into the use of artificial intelligence (AI) for national security purposes. The aim of this project is to establish an independent evidence base to inform future policy development ...
Babuta, Alexander +2 more
core +1 more source
WildDeepfake: A Challenging Real-World Dataset for Deepfake Detection
, 2020 In recent years, the abuse of a face swap technique called deepfake Deepfake has raised enormous public concerns. So far, a large number of deepfake videos (known as "deepfakes") have been crafted and uploaded to the internet, calling for effective ...
Chang, Minghao +4 more
core +1 more source
DeepFake Detection with Inconsistent Head Poses: Reproducibility and Analysis [PDF]
, 2021 Applications of deep learning to synthetic media generation allow the creation of convincing forgeries, called DeepFakes, with limited technical expertise. DeepFake detection is an increasingly active research area.
Bassett, Robert, Lutz, Kevin
core
Detecting Deepfakes with Metric Learning
CoRR, 2020 With the arrival of several face-swapping applications such as FaceApp, SnapChat, MixBooth, FaceBlender and many more, the authenticity of digital media content is hanging on a very loose thread. On social media platforms, videos are widely circulated often at a high compression factor.
Akash Kumar 0004, Arnav Bhavsar
openaire +2 more sources