A unified method to revoke the private data of patients in intelligent healthcare with audit to forget

Juexiao Zhou, Haoyang Li, Xingyu Liao, Bin Zhang, Wenjia He, Zhongxiao Li, Longxi Zhou and Xin Gao ()
Additional contact information
Juexiao Zhou: King Abdullah University of Science and Technology (KAUST)
Haoyang Li: King Abdullah University of Science and Technology (KAUST)
Xingyu Liao: King Abdullah University of Science and Technology (KAUST)
Bin Zhang: King Abdullah University of Science and Technology (KAUST)
Wenjia He: King Abdullah University of Science and Technology (KAUST)
Zhongxiao Li: King Abdullah University of Science and Technology (KAUST)
Longxi Zhou: King Abdullah University of Science and Technology (KAUST)
Xin Gao: King Abdullah University of Science and Technology (KAUST)

Nature Communications, 2023, vol. 14, issue 1, 1-13

Abstract: Abstract Revoking personal private data is one of the basic human rights. However, such right is often overlooked or infringed upon due to the increasing collection and use of patient data for model training. In order to secure patients’ right to be forgotten, we proposed a solution by using auditing to guide the forgetting process, where auditing means determining whether a dataset has been used to train the model and forgetting requires the information of a query dataset to be forgotten from the target model. We unified these two tasks by introducing an approach called knowledge purification. To implement our solution, we developed an audit to forget software (AFS), which is able to evaluate and revoke patients’ private data from pre-trained deep learning models. Here, we show the usability of AFS and its application potential in real-world intelligent healthcare to enhance privacy protection and data revocation rights.

Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41467-023-41703-x Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-41703-x

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-023-41703-x

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().