The advent of artificial intelligence-generated content (AIGC) represents a pivotal moment in
the evolution of information technology. With AIGC, it can be effortless to generate high …

Recently diffusion models have emerged as a new powerful generative method for 3D point
cloud generation tasks. However few works study the effect of the architecture of the …

Adversarial attacks in computer vision exploit the vulnerabilities of machine learning models
by introducing subtle perturbations to input data, often leading to incorrect predictions or …

Provenance facts, such as who made an image and how, can provide valuable context for
users to make trust decisions about visual content. Against a backdrop of inexorable …

The rapid proliferation of deep neural networks (DNNs) is driving a surge in model
watermarking technologies, as the trained deep models themselves serve as intellectual …

Image manipulation detection and localization have received considerable attention from
the research community given the blooming of Generative Models (GMs). Detection methods …

With the rapid growth of generative AI and its widespread application in image editing, new
risks have emerged regarding the authenticity and integrity of digital content. Existing …