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 …

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 …

The rapid development of facial manipulation techniques has aroused public concerns in
recent years. Following the success of deep learning, existing methods always formulate …

As the GAN-based face image and video generation techniques, widely known as
DeepFakes, have become more and more matured and realistic, there comes a pressing …

Deepfake refers to realistic, but fake images, sounds, and videos generated by articial
intelligence methods. Recent advances in deepfake generation make deepfake more …

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

With the recent advances in voice synthesis, AI-synthesized fake voices are
indistinguishable to human ears and widely are applied to produce realistic and natural …

The explosive progress of Deepfake techniques poses unprecedented privacy and security
risks toward our society by creating real-looking but fake visual content. However, the …

DeepFake is becoming a real risk to society and brings potential threats to both individual
privacy and political security due to the DeepFaked multimedia are realistic and convincing …

Full face synthesis and partial face manipulation by virtue of the generative adversarial
networks (GANs) and its variants have raised wide public concerns. In the multi-media …