Results 241 to 250 of about 12,445,360 (313)

Sharing traumatic stress research data: assessing and reducing the risk of re-identification. [PDF]

Eur J Psychotraumatol
Kassam-Adams N, Thompson K, Sijbrandij M, Dyb G.   +3 more
europepmc   +1 more source

A qualitative study assessing the acceptability of a multi-agent AI Chatbot for providing HIV and mental health support among men who have sex with men and transgender women in KwaZulu-Natal, South Africa. [PDF]

Trans R Soc Trop Med Hyg
Humphries H, Msimango L, Tshawe Z, Gcelu N, Ferreira K, Pienaar J, van der Elst EM, Giovenco D, Operario D, Sanders EJ, van Heerden A.   +10 more
europepmc   +1 more source

Linkable Ring Signature for Privacy Protection in Blockchain-Enabled IIoT. [PDF]

Sensors (Basel)
Guo F, Gao Y, Jiang J, Chen X, Chen X, Jiang Z.   +5 more
europepmc   +1 more source

DA³4FL: a robust dynamic accumulator-based authentication and key agreement with preserving model training data integrity for federated learning. [PDF]

Sci Rep
Li S, Zhang Y, Bai J, Fan K.
europepmc   +1 more source

A Freely Accessible, Anonymous Online Treatment for Social Anxiety: Protocol for a Partially Randomized Patient Preference Trial.

JMIR Res Protoc
Arnold S, Vogt MF, Boettcher J, Fenski F, Šipka D, Elson M, Berger T.   +6 more
europepmc   +1 more source

FAIR and Square: Privacy Compliance Framework for Healthcare Databases

Zhu Z, Louws MN, Bumbuc RV, Sakkers J, Wilding R, Brandt BW, Hoekstra AG, Sheraton VM.   +7 more
europepmc   +1 more source

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Machine Learning of k-Anonymity Data by using Feature Importance and Margin Preservation

Global Conference on Artificial Intelligence and Internet of Things, 2023
Quality of data is the key for machine learning. In the case of sensitive data, de-identification must be adopted to guarantee data privacy. Supervisory organizations have enacted regulations, e.g., EU GDPR, to govern these behaviors.
Ray-I Chang, Cheng-Yen Lee, Po-Wei Chen, Chia-Hui Wang   +3 more
semanticscholar   +1 more source

Reidentification Risk in Panel Data: Protecting for k-Anonymity

Information systems research, 2022
Market research companies collect extensive data on purchasing, travel, and app and media usage behaviors of consumers, prescriptions written by physicians, and so forth.
Shaobo Li, Matthew J. Schneider, Yan Yu, Sachin Gupta   +3 more
semanticscholar   +1 more source

Hiding Among Your Neighbors: Face Image Privacy Protection with Differential Private k-anonymity

IEEE international Symposium on Broadband Multimedia Systems and Broadcasting, 2022
The development of modern social media allows millions of private photos to be uploaded and shared, which provides a wide range of image acquisition but extremely threatens personal image privacy. Face de-identification is treated as an important privacy
Jingyi Cao, Bo Liu, Yunqian Wen, Yunhui Zhu, Rong Xie, Li Song, Lin Li, Yaoyao Yin   +7 more
semanticscholar   +1 more source