Results 221 to 230 of about 2,551,899 (286)
Sybil Attack-Resistant Blockchain-Based Proof-of-Location Mechanism with Privacy Protection in VANET. [PDF]
Sensors (Basel)Khatri N, Lee S, Nam SY.
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Design of Block-Scrambling-Based privacy protection mechanism in healthcare using fusion of transfer learning models with Hippopotamus optimization algorithm. [PDF]
Sci RepElhessewi GMS +7 more
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Research on privacy protection in the context of healthcare data based on knowledge map. [PDF]
Medicine (Baltimore)Ouyang T +6 more
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A bidirectional reversible and multilevel location privacy protection method based on attribute encryption. [PDF]
PLoS OneHu Z, Hu K, Hasan MMK.
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User Privacy Protection via Windows Registry Hooking and Runtime Encryption. [PDF]
Sensors (Basel)Amoruso EL, Leinecker R, Zou CC.
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Privacy, Patience, and Protection
SSRN Electronic Journal, 2019zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ronen Gradwohl, Rann Smorodinsky
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Nature Reviews Genetics, 2001
This article outlines the arguments for and against new rules to protect genetic privacy. We explain why genetic information is different to other sensitive medical information, why researchers and biotechnology companies have opposed new rules to protect genetic privacy (and favour anti-discrimination laws instead), and discuss what can be done to ...
P A, Roche, G J, Annas
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This article outlines the arguments for and against new rules to protect genetic privacy. We explain why genetic information is different to other sensitive medical information, why researchers and biotechnology companies have opposed new rules to protect genetic privacy (and favour anti-discrimination laws instead), and discuss what can be done to ...
P A, Roche, G J, Annas
openaire +2 more sources
ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019
Images shared on social media are routinely analysed by classifiers for content annotation and user profiling. These automatic inferences reveal to the service provider sensitive information that a naive user might want to keep private. To address this problem, we present a method designed to distort the image data so as to hinder the inference of a ...
Chau Yi Li +4 more
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Images shared on social media are routinely analysed by classifiers for content annotation and user profiling. These automatic inferences reveal to the service provider sensitive information that a naive user might want to keep private. To address this problem, we present a method designed to distort the image data so as to hinder the inference of a ...
Chau Yi Li +4 more
openaire +2 more sources