Typology of risks of generative text-to-image models

C Bird, E Ungless, A Kasirzadeh - Proceedings of the 2023 AAAI/ACM …, 2023 - dl.acm.org
This paper investigates the direct risks and harms associated with modern text-to-image
generative models, such as DALL-E and Midjourney, through a comprehensive literature …

[HTML][HTML] Deepfake attacks: Generation, detection, datasets, challenges, and research directions

A Naitali, M Ridouani, F Salahdine, N Kaabouch - Computers, 2023 - mdpi.com
Recent years have seen a substantial increase in interest in deepfakes, a fast-develo**
field at the nexus of artificial intelligence and multimedia. These artificial media creations …

Deepfake video detection: challenges and opportunities

A Kaur, A Noori Hoshyar, V Saikrishna, S Firmin… - Artificial Intelligence …, 2024 - Springer
Deepfake videos are a growing social issue. These videos are manipulated by artificial
intelligence (AI) techniques (especially deep learning), an emerging societal issue …

[HTML][HTML] Unmasking deepfakes: A systematic review of deepfake detection and generation techniques using artificial intelligence

F Abbas, A Taeihagh - Expert Systems with Applications, 2024 - Elsevier
Due to the fast spread of data through digital media, individuals and societies must assess
the reliability of information. Deepfakes are not a novel idea but they are now a widespread …

[HTML][HTML] A comprehensive review of deepfake detection using advanced machine learning and fusion methods

G Gupta, K Raja, M Gupta, T Jan, ST Whiteside… - Electronics, 2023 - mdpi.com
Recent advances in Generative Artificial Intelligence (AI) have increased the possibility of
generating hyper-realistic DeepFake videos or images to cause serious harm to vulnerable …

Generative artificial intelligence: synthetic datasets in dentistry

F Umer, N Adnan - BDJ open, 2024 - nature.com
Abstract Introduction Artificial Intelligence (AI) algorithms, particularly Deep Learning (DL)
models are known to be data intensive. This has increased the demand for digital data in all …

DeepFake on face and expression swap: A review

S Waseem, SARSA Bakar, BA Ahmed, Z Omar… - IEEE …, 2023 - ieeexplore.ieee.org
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 …

Deepfakes and higher education: A research agenda and sco** review of synthetic media

J Roe, M Perkins, L Furze - Journal of University Teaching and …, 2024 - search.informit.org
The availability of software which can produce convincing, yet synthetic media poses both
threats and benefits to tertiary education globally. While other forms of synthetic media exist …

ekyc-df: A large-scale deepfake dataset for develo** and evaluating ekyc systems

H Felouat, HH Nguyen, TN Le, J Yamagishi… - IEEE …, 2024 - ieeexplore.ieee.org
The reliability of remote identity-proofing systems (ie, electronic Know Your Customer, or
eKYC, systems) is challenged by the development of deepfake generation tools, which can …

Latent flow diffusion for deepfake video generation

A AV, S Das, A Das - … of the IEEE/CVF Conference on …, 2024 - openaccess.thecvf.com
Image-to-video generation with conditional identity swap popularly known as deepfake aims
to synthesize a new video for the target identity guided by an image of the target and a video …