Machine Unlearning: A Survey
Fields with differences: year. Compare local vs external BibTeX below.
Authors
Venue
ACM Computing Surveys
Abstract
Comprehensive survey of machine unlearning covering definitions, scenarios, verification methods, and applications. Cited in the International AI Safety Report 2025 as a pioneering paradigm for removing sensitive information.
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BibTeX
Local Entry
@article{xu2024unlearningsurvey,
title = {Machine Unlearning: A Survey},
author = {Heng Xu and Tianqing Zhu and Lefeng Zhang and Wanlei Zhou and Philip S. Yu},
year = {2024},
journal = {ACM Computing Surveys},
url = {https://dl.acm.org/doi/10.1145/3603620},
abstract = {Comprehensive survey of machine unlearning covering definitions, scenarios, verification methods, and applications. Cited in the International AI Safety Report 2025 as a pioneering paradigm for removing sensitive information.}
} From AUTO:S2
@article{xu2024unlearningsurvey,
title = {Machine Unlearning: A Survey},
author = {Heng Xu and Tianqing Zhu and Lefeng Zhang and Wanlei Zhou and P. Yu},
year = {2023},
journal = {ACM Computing Surveys},
doi = {10.1145/3603620}
}