# Do Influence-Derived Data Perturbations Enable Machine Unlearning? A Controlled Study of Three Plausible Roles

> 标题为英语

> 全文为英语

**Published:** 2026年9月14日
**Author:** Chenkai Wu, Chrispine Kambimbi, Qinyang Zeng, Jun Yan
**Source:** arXiv — cs.AI
**Language:** en-US
**HTML:** https://aiqazaqstan.com/zh/articles/do-influence-derived-data-perturbations-enable-machine-unlearning-a-cont

arXiv:2609.12313v1 Announce Type: new Abstract: We evaluate Deep Perturbation Learning (DPL), which perturbs training images and labels along influence-derived directions, in three roles in which prior work has positioned it for machine unlearning: a direct deletion signal (the…

> 内容来自原始来源： **arXiv — cs.AI**
> [在 arXiv — cs.AI 阅读全文](https://arxiv.org/abs/2609.12313)

**标签：** #arXiv

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