DC Field | Value | Language |
dc.contributor.author | Kovalev, V. | - |
dc.coverage.spatial | Минск | en_US |
dc.date.accessioned | 2024-03-01T07:50:21Z | - |
dc.date.available | 2024-03-01T07:50:21Z | - |
dc.date.issued | 2023 | - |
dc.identifier.citation | Kovalev, V. Assessing the Security of Personal Data in Large Scale chest X-Ray Image Screening / V. Kovalev // Pattern Recognition and Information Processing (PRIP'2023) = Распознавание образов и обработка информации (2023) : Proceedings of the 16th International Conference, October 17–19, 2023, Minsk, Belarus / United Institute of Informatics Problems of the National Academy of Sciences of Belarus. – Minsk, 2023. – P. 328–331. | en_US |
dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/54454 | - |
dc.description.abstract | This paper is related to the problem of security of
personal data in the context of massive screening of the
population. We attempt to assess the probability of
identification of particular individuals by their chest images
stored together with other private data in large-scale image
databases. It was supposed that the attacker have X-Ray image
of target subject but taken several years earlier at different
scanning conditions and uses it as a key. A total of 90,000 images
of 45,000 subjects were sampled from a database containing
1,909,000 records. The study groups were fully balanced by both
age and gender. Image features were derived using 3 different
CNNs including EfficientNet-B0, EfficientNet-B0-V2, and BiT-
S R50x1. Results of searching correct image of a pair for all
45,000 people were presented in form of the fraction of correct
answers in the Top-N most similar while N runs from 1 (correct
answer on the first position) up to 80. It was found that (a)
EfficientNet-B0 produces the best image features among the
three CNNs being examined. (b) The fraction of correct
identifications of subjects that is the right answers appeared on
the first position was about 14% whereas the percentage of
correct results in Top-80 achieved 33%. (c) The chances to be
identified are significantly higher in female subjects compared
to males and higher in young subjects compared to the aged
ones. | en_US |
dc.language.iso | en | en_US |
dc.publisher | BSU | en_US |
dc.subject | материалы конференций | en_US |
dc.subject | personal data security | en_US |
dc.subject | medical images | en_US |
dc.subject | searching similar images | en_US |
dc.title | Assessing the Security of Personal Data in Large Scale chest X-Ray Image Screening | en_US |
dc.type | Article | en_US |
Appears in Collections: | Pattern Recognition and Information Processing (PRIP'2023) = Распознавание образов и обработка информации (2023)
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