Diffusion models (DMs) have achieved state-of-the-art performance on various generative
tasks such as image synthesis, text-to-image, and text-guided image-to-image generation …

AI has undergone a remarkable evolution journey marked by groundbreaking milestones.
Like any powerful tool, it can be turned into a weapon for devastation in the wrong hands …

Deep neural networks (DNNs) have demonstrated effectiveness in various fields. However,
DNNs are vulnerable to backdoor attacks, which inject a unique pattern, called trigger, into …

Diffusion Models are vulnerable to backdoor attacks, where malicious attackers inject
backdoors by poisoning some parts of the training samples during the training stage. This …

Diffusion models (DMs) are regarded as one of the most advanced generative models today,
yet recent studies suggest that they are vulnerable to backdoor attacks, which establish …

Backdoor attacks embed an attacker-chosen pattern into inputs to cause model
misclassification. This security threat to machine learning has been a long concern. There …

Diffusion models (DMs) are advanced deep learning models that achieved state-of-the-art
capability on a wide range of generative tasks. However, recent studies have shown their …

Text-to-image diffusion models have been widely adopted in real-world applications due to
their ability to generate realistic images from textual descriptions. However, recent studies …

Current image generation models can effortlessly produce high-quality, highly realistic
images, but this also increases the risk of misuse. In various Text-to-Image or Image-to …

The widespread availability of multimodal generative models has sparked critical
discussions on their fairness, reliability, and potential for misuse. While text-to-image models …