2025-01-14-zhang25d.md

title	booktitle	year	volume	series	month	publisher	pdf	url	software	openreview	abstract	layout	issn	id	tex_title	firstpage	lastpage	page	order	cycles	bibtex_editor	editor	bibtex_author	author	date	address	container-title	genre	issued	extras
Countering Relearning with Perception Revising Unlearning	Proceedings of the 16th Asian Conference on Machine Learning	2025	260	Proceedings of Machine Learning Research	0	PMLR	https://raw.githubusercontent.com/mlresearch/v260/main/assets/zhang25d/zhang25d.pdf	https://proceedings.mlr.press/v260/zhang25d.html	https://github.com/DATA-Transpose/PRU	xUHpRIq8fZ	Unlearning methods that rely solely on forgetting data typically modify the network’s decision boundary to achieve unlearning. However, these approaches are susceptible to the "relearning" problem, whereby the network may recall the forgotten class upon subsequent updates with the remaining class data. Our experimental analysis reveals that, although these modifications alter the decision boundary, the network’s fundamental perception of the samples remains mostly unchanged. In response to the relearning problem, we introduce the Perception Revising Unlearning (PRU) framework. PRU employs a probability redistribution method, which assigns new labels and more precise supervision information to each forgetting class instance. The PRU actively shifts the network’s perception of forgetting class samples toward other remaining classes. The experimental results demonstrate that PRU not only has good classification effectiveness but also significantly reduces the risk of relearning, suggesting a robust approach to class unlearning tasks that depend solely on forgetting data.	inproceedings	2640-3498	zhang25d	Countering Relearning with Perception Revising Unlearning	1336	1351	1336-1351	1336	false	Nguyen, Vu and Lin, Hsuan-Tien	given family Vu Nguyen given family Hsuan-Tien Lin	Zhang, Chenhao and Chen, Weitong and Zhang, Wei Emma and Xu, Miao	given family Chenhao Zhang given family Weitong Chen given family Wei Emma Zhang given family Miao Xu	2025-01-14		Proceedings of the 16th Asian Conference on Machine Learning	inproceedings	date-parts 2025 1 14	label link Supplementary PDF https://raw.githubusercontent.com/mlresearch/v260/main/assets/assets/zhang25d/zhang25d-supp.pdf