Deep Learning (DL) has been effectively utilized in various complicated challenges in
healthcare, industry, and academia for various purposes, including thyroid diagnosis, lung …

Due to its critical role in cybersecurity, digital forensics has received significant attention from
researchers and practitioners alike. The ever increasing sophistication of modern …

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 …

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 …

Abstract Advances in Deep Learning (DL), Big Data and image processing have facilitated
online disinformation spreading through Deepfakes. This entails severe threats including …

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 …

Thousands of videos are posted on websites and social media every day, including Twitter,
Facebook, WhatsApp, Instagram, and YouTube. Newspapers, law enforcement publications …

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 …

Recent advancements of Generative Adversarial Networks (GANs) pose emerging yet
serious privacy risks threatening digital media's integrity and trustworthiness, specifically …

The great development in the area of Artificial Intelligence (AI) has introduced tremendous
advancements in information technology. Moreover, the introduction of lightweight machine …