Easy access to audio-visual content on social media, combined with the availability of
modern tools such as Tensorflow or Keras, and open-source trained models, along with …

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

With technological advances, the generation of deepfake material is now within reach of
those operating consumer-grade hardware. As a result, much research has been …

Recent advancements in deep learning generative models have raised concerns as they
can create highly convincing counterfeit images and videos. This poses a threat to people's …

Research shows that health misinformation is widespread online and poses a potentially
significant threat to public health. Visual misinformation has been largely overlooked, a …

Purpose This study aims to underline Islamic principles to the business theories for
producers and policymakers and to explain halal marketing by value creation approach for …

Deepfakes present an emerging threat in cyberspace. Recent developments in machine
learning make deepfakes highly believable, and very difficult to differentiate between what is …

Deepfakes are AI-generated media in which an image or video has been digitally modified.
The advancements made in deepfake technology have led to privacy and security issues …

As digitization is increasing, threats to our data are also increasing at a faster pace.
Generating fake videos does not require any particular type of knowledge, hardware …

Multimedia content has become ubiquitous on social media platforms, leading to the rise of
multimodal misinformation (MM) and the urgent need for effective strategies to detect and …