Deepfake detection using deep learning methods: A systematic and comprehensive review
Deep Learning (DL) has been effectively utilized in various complicated challenges in
healthcare, industry, and academia for various purposes, including thyroid diagnosis, lung …
healthcare, industry, and academia for various purposes, including thyroid diagnosis, lung …
Research trends, challenges, and emerging topics in digital forensics: A review of reviews
Due to its critical role in cybersecurity, digital forensics has received significant attention from
researchers and practitioners alike. The ever increasing sophistication of modern …
researchers and practitioners alike. The ever increasing sophistication of modern …
Voice-face homogeneity tells deepfake
Detecting forgery videos is highly desirable due to the abuse of deepfake. Existing detection
approaches contribute to exploring the specific artifacts in deepfake videos and fit well on …
approaches contribute to exploring the specific artifacts in deepfake videos and fit well on …
DFDT: an end-to-end deepfake detection framework using vision transformer
A Khormali, JS Yuan - Applied Sciences, 2022 - mdpi.com
The ever-growing threat of deepfakes and large-scale societal implications has propelled
the development of deepfake forensics to ascertain the trustworthiness of digital media. A …
the development of deepfake forensics to ascertain the trustworthiness of digital media. A …
Deepfakes: current and future trends
ÁF Gambín, A Yazidi, A Vasilakos, H Haugerud… - Artificial Intelligence …, 2024 - Springer
Abstract Advances in Deep Learning (DL), Big Data and image processing have facilitated
online disinformation spreading through Deepfakes. This entails severe threats including …
online disinformation spreading through Deepfakes. This entails severe threats including …
An overview of recent work in media forensics: Methods and threats
In this paper, we review recent work in media forensics for digital images, video, audio
(specifically speech), and documents. For each data modality, we discuss synthesis and …
(specifically speech), and documents. For each data modality, we discuss synthesis and …
A comprehensive taxonomy on multimedia video forgery detection techniques: challenges and novel trends
W El-Shafai, MA Fouda, ESM El-Rabaie… - Multimedia Tools and …, 2024 - Springer
Thousands of videos are posted on websites and social media every day, including Twitter,
Facebook, WhatsApp, Instagram, and YouTube. Newspapers, law enforcement publications …
Facebook, WhatsApp, Instagram, and YouTube. Newspapers, law enforcement publications …
Digital video tampering detection and localization: Review, representations, challenges and algorithm
Digital videos are now low-cost, easy to capture and easy to share on social media due to
the common feature of video recording in smart phones and digital devices. However, with …
the common feature of video recording in smart phones and digital devices. However, with …
Add: Attention-based deepfake detection approach
A Khormali, JS Yuan - Big Data and Cognitive Computing, 2021 - mdpi.com
Recent advancements of Generative Adversarial Networks (GANs) pose emerging yet
serious privacy risks threatening digital media's integrity and trustworthiness, specifically …
serious privacy risks threatening digital media's integrity and trustworthiness, specifically …
Convolutional long short-term memory-based approach for deepfakes detection from videos
The great development in the area of Artificial Intelligence (AI) has introduced tremendous
advancements in information technology. Moreover, the introduction of lightweight machine …
advancements in information technology. Moreover, the introduction of lightweight machine …