no code implementations • 3 Mar 2024 • Marvin Li, Sitan Chen
Additionally, preliminary experiments on Stable Diffusion suggest critical windows may serve as a useful tool for diagnosing fairness and privacy violations in real-world diffusion models.
1 code implementation • 26 Feb 2024 • Jeffrey G. Wang, Jason Wang, Marvin Li, Seth Neel
In fine-tuning, we find that given access to the loss of the fine-tuned and base models, a fine-tuned loss ratio attack FLoRA is able to achieve near perfect MIA peformance.
no code implementations • 22 Oct 2023 • Marvin Li, Jason Wang, Jeffrey Wang, Seth Neel
In this paper, we present Model Perturbations (MoPe), a new method to identify with high confidence if a given text is in the training data of a pre-trained language model, given white-box access to the models parameters.