Over the last few decades, rapid progress in AI, machine learning, and deep learning has
resulted in new techniques and various tools for manipulating multimedia. Though the …

Recently, deepfake videos, generated by deep learning algorithms, have attracted
widespread attention. Deepfake technology can be used to perform face manipulation with …

We present an approach to mitigating the risks of malicious image editing posed by large
diffusion models. The key idea is to immunize images so as to make them resistant to …

A major challenge in DeepFake forgery detection is that state-of-the-art algorithms are
mostly trained to detect a specific fake method. As a result, these approaches show poor …

With the rapid development of face manipulation technology, it is difficult for human eyes to
distinguish fake face images. On the contrary, Convolutional Neural Network (CNN) …

The creation or manipulation of facial appearance through deep generative approaches,
known as DeepFake, have achieved significant progress and promoted a wide range of …

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

Advancements in deep learning techniques and the availability of free, large databases
have made it possible, even for non-technical people, to either manipulate or generate …

Lots of Deepfake videos are circulating on the Internet, which not only damages the
personal rights of the forged individual, but also pollutes the web environment. What's …

Detecting digital face manipulation has attracted extensive attention due to the potential
harms of fake media to the public. However, recent advances have been able to reduce the …