With the rapid development and popularity of the Internet, multimedia security has become a
general essential concern. Especially, as manipulation of digital images gets much easier …

In the past few years, the Generative Adversarial Network (GAN), which proposed in 2014,
has achieved great success. There have been increasing research achievements based on …

Recently, backdoor attacks pose a new security threat to the training process of deep neural
networks (DNNs). Attackers intend to inject hidden backdoors into DNNs, such that the …

Image hiding aims to hide a secret image into a cover image in an imperceptible way, and
then recover the secret image perfectly at the receiver end. Capacity, invisibility and security …

Many attempts have been made to hide information in images, where the main challenge is
how to increase the payload capacity without the container image being detected as …

Multiple image hiding aims to hide multiple secret images into a single cover image, and
then recover all secret images perfectly. Such high-capacity hiding may easily lead to …

Photorealistic image generation has reached a new level of quality due to the breakthroughs
of generative adversarial networks (GANs). Yet, the dark side of such deepfakes, the …

Neural networks have been shown effective in deep steganography for hiding a full image in
another. However, the reason for its success remains not fully clear. Under the existing cover …

A generative AI model can generate extremely realistic-looking content, posing growing
challenges to the authenticity of information. To address the challenges, watermark has …

Despite the tremendous success, deep neural networks are exposed to serious IP
infringement risks. Given a target deep model, if the attacker knows its full information, it can …