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Comment
. 2023 Jul;29(7):1658-1659.
doi: 10.1038/s41591-023-02439-9. Epub 2023 Jul 18.

Concerns about using a digital mask to safeguard patient privacy

Matthieu Meeus  1 , Shubham Jain  1 , Yves-Alexandre de Montjoye  2
Affiliations
Comment

Concerns about using a digital mask to safeguard patient privacy

Matthieu Meeus et al. Nat Med. 2023 Jul.
No abstract available

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Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1. Mask2Mask achieves a reidentification accuracy of 52%.
Rank-1 accuracy in facial recognition across 2 methods: (1) ‘Mask2Face’: mask as query image and original image as database image; (2) ‘Mask2Mask’: mask as query image and mask as database image. Results for Yang et al. are based on analysis of 405 individuals, while results for our analysis (‘ours’) are based on analysis of 555 individuals.
See this image and copyright information in PMC

Comment in

Comment on

  • A digital mask to safeguard patient privacy.
    Yang Y, Lyu J, Wang R, Wen Q, Zhao L, Chen W, Bi S, Meng J, Mao K, Xiao Y, Liang Y, Zeng D, Du Z, Wu Y, Cui T, Liu L, Iao WC, Li X, Cheung CY, Zhou J, Hu Y, Wei L, Lai IF, Yu X, Chen J, Wang Z, Mao Z, Ye H, Xiao W, Yang H, Huang D, Lin X, Zheng WS, Wang R, Yu-Wai-Man P, Xu F, Dai Q, Lin H. Yang Y, et al. Nat Med. 2022 Sep;28(9):1883-1892. doi: 10.1038/s41591-022-01966-1. Epub 2022 Sep 15. Nat Med. 2022. PMID: 36109638 Free PMC article.

References

    1. Yang Y, et al. A digital mask to safeguard patient privacy. Nat. Med. 2022;28:1883–1892. doi: 10.1038/s41591-022-01966-1. - DOI - PMC - PubMed
    1. Brierley, C. ‘Digital mask’ could protect patients’ privacy in medical records.https://www.cam.ac.uk/stories/digital-masks/ (University of Cambridge, 2022).
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    1. Sanyal, S., Bolkart, T., Feng, H. & Black, M. J. Learning to regress 3D face shape and expression from an image without 3D supervision. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (7763–7772) (2019).
    1. Deng, J., Guo, J., Xue, N. & Zafeiriou, S. Arcface: Additive angular margin loss for deep face recognition. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (4690–4699) (2019).