Results 11 to 20 of about 48,693 (258)
Anonymization Techniques for Privacy Preserving Data Publishing: A Comprehensive Survey
IEEE Access, 2021 Anonymization is a practical solution for preserving user’s privacy in data publishing. Data owners such as hospitals, banks, social network (SN) service providers, and insurance companies anonymize their user’s data before publishing it to
Abdul Majeed, Sungchang Lee
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Computational Linguistics, 2022 We present a novel benchmark and associated evaluation metrics for assessing the performance of text anonymization methods. Text anonymization, defined as the task of editing a text document to prevent the disclosure of personal information, currently ...
Ildikó Pilán +5 more
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Finding the Sweet Spot for Data Anonymization: A Mechanism Design Perspective
IEEE Access, 2022 Data sharing between different organizations is an essential process in today’s connected world. However, recently there were many concerns about data sharing as sharing sensitive information can jeopardize users’ privacy.
Abdelrahman Eldosouky +3 more
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Statistical biases due to anonymization evaluated in an open clinical dataset from COVID-19 patients
Scientific Data, 2022 Anonymization has the potential to foster the sharing of medical data. State-of-the-art methods use mathematical models to modify data to reduce privacy risks.
Carolin E. M. Koll +26 more
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Data anonymization patent landscape
Croatian Operational Research Review, 2017 The omnipresent, unstoppable increase in digital data has led to a greater understanding of the importance of data privacy. Different approaches are used to implement data privacy.
Mirjana Pejić Bach +2 more
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Standardization of guidelines for patient photograph deidentification [PDF]
, 2016 IMPORTANCE: This work was performed to advance patient care by protecting patient anonymity. OBJECTIVES: This study aimed to analyze the current practices used in patient facial photograph deidentification and set forth standardized guidelines for ...
Roberts, Erik +2 more
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Episteme, 2013 AbstractThis paper addresses how the anonymity of an assertion affects the epistemological dimension of its production by speakers, and its reception by hearers. After arguing that anonymity does have implications in both respects, I go on to argue that at least some of these implications derive from a warranted diminishment in speakers' and hearers ...
openaire +2 more sources
Data Anonymization for Pervasive Health Care: Systematic Literature Mapping Study
JMIR Medical Informatics, 2021 BackgroundData science offers an unparalleled opportunity to identify new insights into many aspects of human life with recent advances in health care.
Zheming Zuo +5 more
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Using Metrics Suites to Improve the Measurement of Privacy in Graphs [PDF]
, 2019 The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.Social graphs are widely used in research (e.g., epidemiology) and business (e.g., recommender systems ...
Wagner, Isabel, Zhao, Yuchen
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Facial Feature Removal for Anonymization of Neurological Image Data
Current Directions in Biomedical Engineering, 2021 Interdisciplinary exchange of medical datasets between clinicians and engineers is essential for clinical research. Due to the Data Protection Act, which preserves the rights of patients, full anonymization is necessary before any exchange can take place.
Gießler Fina +4 more
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