2026
Enhancing Membership Inference Attacks on Diffusion Models from a Frequency-Domain Perspective
ICML 2026poster
Diffusion models have achieved tremendous success in image generation, but they also raise significant concerns regarding privacy and copyright issues. Membership Inference Attacks (MIAs) are designed to ascertain whether specific data were utilized during a model's training phase. As current MIAs f…