Machine Unlearning: A Survey

2024 article xu2024unlearningsurvey ○ Not yet verified

Authors

Heng Xu, Tianqing Zhu, Lefeng Zhang, Wanlei Zhou, Philip S. Yu

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.

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 OPENALEX

@article{xu2024unlearningsurvey,
  title = {Machine Unlearning: A Survey},
  author = {Heng Xu and Tianqing Zhu and Lefeng Zhang and Wanlei Zhou and Philip S. Yu},
  year = {2023},
  journal = {ACM Computing Surveys},
  doi = {10.1145/3603620}
}