no code implementations • 14 Dec 2023 • Huijie Zhang, Yifu Lu, Ismail Alkhouri, Saiprasad Ravishankar, Dogyoon Song, Qing Qu
This is due to the necessity of tracking extensive forward and reverse diffusion trajectories, and employing a large model with numerous parameters across multiple timesteps (i. e., noise levels).
no code implementations • 8 Oct 2023 • Huijie Zhang, Jinfan Zhou, Yifu Lu, Minzhe Guo, Peng Wang, Liyue Shen, Qing Qu
In this work, we investigate an intriguing and prevalent phenomenon of diffusion models which we term as "consistent model reproducibility": given the same starting noise input and a deterministic sampler, different diffusion models often yield remarkably similar outputs.
2 code implementations • 15 Dec 2022 • Anshuman Suri, Yifu Lu, Yanjin Chen, David Evans
A distribution inference attack aims to infer statistical properties of data used to train machine learning models.