Aug 11, 2023 · We aim to design membership inference attacks (MIAs) catered to diffusion models. We first conduct an exhaustive analysis of existing MIAs on diffusion models.

In this paper, we investigate whether a diffusion model is resistant to a membership inference attack, which evaluates the privacy leakage of a machine learning ...

Dec 9, 2024 · This is the repository for the paper "White-box Membership Inference Attacks against Diffusion Models," which is accepted by PoPets 2025.

White-box Membership Inference Attacks against Diffusion Models. Pang, Y., Wang, T., Kang, X., Huai, M., & Zhang, Y. arXiv preprint arXiv:2308.06405, 2023.

White-box membership inference attacks against diffusion models. Pang, Y., Wang, T., Kang, X., Huai, M., & Zhang, Y. PETS, 2025.

Aug 1, 2024 · White-box membership inference attacks diffusion models by leveraging their internal parameters and gradients. Key methods include loss-based ...

A curated list of membership inference attacks and defenses papers on machine learning models. Papers are sorted by their released dates in descending order.

Mar 22, 2023 · We primarily discuss the diffusion model from the standpoints of comparison with a generative adversarial network (GAN) as conventional models ...

Diffusion-based generative models have shown great potential for image synthesis, but there is a lack of research on the security and privacy.

Co-authors ; White-box membership inference attacks against diffusion models. Y Pang, T Wang, X Kang, M Huai, Y Zhang. arXiv preprint arXiv:2308.06405, 2023. 16 ...