Learn to Unlearn: Insights Into Machine Unlearning

被引：3
|
作者：
Qu, Youyang [1 ]
Yuan, Xin [1 ]
Ding, Ming [1 ]
Ni, Wei [1 ]
Rakotoarivelo, Thierry [1 ]
Smith, David [1 ]
机构：
[1] Data61, Sydney, NSW, Australia
来源：
COMPUTER | 2024年 / 57卷 / 03期
关键词：
Privacy; Reviews; Machine learning; Resilience; ATTACKS; FORGET;
D O I：
10.1109/MC.2023.3333319
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
This article presents a comprehensive review of recent machine unlearning techniques, verification mechanisms, and potential attacks. We highlight emerging challenges and prospective research directions, aiming to provide valuable resources for integrating privacy, equity, and resilience into machine learning systems and help them "learn to unlearn."
引用
收藏
页码：79 / 90
页数：12
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