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20242026
most citedAre we making progress in unlearning? Findings from the first NeurIPS unlearning competition

1 citations · 2 across the 7 of their papers we have counts for

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cs.CV2026

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

Kairan Zhao, Eleni Triantafillou, Peter Triantafillou

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 infring…

cs.CV2026

Benchmarking Unlearning for Vision Transformers

Kairan Zhao, Iurie Luca, Peter Triantafillou

Machine unlearning (MU) refers to the post-training capability to remove (the influence of) training examples that are incorrect, biased, or leak sensitive/private information. MU…