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UnAct: Gradient-Free Unlearning via Targeted Activation Intervention
UnAct uses gradient-free targeted activation interventions to unlearn model classes from few forget images without gradients, labels, or retained data, matching or exceeding SSD and LFSSD accuracy across datasets and preventing network collapse with scarce data.
Published Oct 3, 2026 · ▲ 6 on Hugging Face · Code ★ 2
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AI panel: 15 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 2/5