← Search

Kairan Zhao

2 accepted papers

2026

You Don’t Need All That Attention: Surgical Memorization Mitigation in Text-to-Image Diffusion Models

ICML 2026poster

Generative models have been shown to "memorize" certain training data, leading to verbatim or near-verbatim generating images, which may cause privacy concerns or copyright infringement. We introduce Guidance Using Attractive-Repulsive Dynamics (GUARD), a novel framework for memorization mitigation …

Cited by 0SourceScholar
2024

What makes unlearning hard and what to do about it

NeurIPS 2024poster

Machine unlearning is the problem of removing the effect of a subset of training data (the ``forget set'') from a trained model without damaging the model's utility e.g. to comply with users' requests to delete their data, or remove mislabeled, poisoned or otherwise problematic data. With unlearning…