Utility-preserving anonymization for health data publishing [PDF]
BMC Medical Informatics and Decision Making, 2017 Background Publishing raw electronic health records (EHRs) may be considered as a breach of the privacy of individuals because they usually contain sensitive information.
Hyukki Lee +3 more
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Connecting Scientific Articles with Research Data: New Directions in Online Scholarly Publishing
Data Science Journal, 2013 Researchers across disciplines are increasingly utilizing electronic tools to collect, analyze, and organize data. However, when it comes to publishing their work, there are no common, well-established standards on how to make that data available to ...
IJsbrand Jan Aalbersberg +2 more
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A Method for Solving Quasi-Identifiers of Single Structured Relational Data
IEEE Access, 2021 Quasi-identifier is a set of attributes used to identify the specific entity in structured data, which can provide an inference path for query attacks.
Yi Hua +3 more
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Privacy-Preserving Trajectory Data Publishing by Dynamic Anonymization with Bounded Distortion
ISPRS International Journal of Geo-Information, 2021 Publication of trajectory data that contain rich information of vehicles in the dimensions of time and space (location) enables online monitoring and supervision of vehicles in motion and offline traffic analysis for various management tasks. However, it
Songyuan Li +3 more
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Strategies and guidelines for scholarly publishing of biodiversity data [PDF]
Research Ideas and Outcomes, 2017 The present paper describes policies and guidelines for scholarly publishing of biodiversity and biodiversity-related data, elaborated and updated during the Framework Program 7 EU BON project, on the basis of an earlier version published on Pensoft's ...
Lyubomir Penev +12 more
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Medical data publishing based on average distribution and clustering
CAAI Transactions on Intelligence Technology, 2022 Most of the data publishing methods have not considered sensitivity protection, and hence the adversary can disclose privacy by sensitivity attack.
Tong Yi, Minyong Shi, Haibin Zhu
doaj +1 more source
When AI Meets Information Privacy: The Adversarial Role of AI in Data Sharing Scenario
IEEE Access, 2023 Artificial intelligence (AI) is a transformative technology with a substantial number of practical applications in commercial sectors such as healthcare, finance, aviation, and smart cities.
Abdul Majeed, Seong Oun Hwang
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Who knew? The misleading specificity of “double-blind” and what to do about it
Trials, 2020 Background In randomized trials, the term “double-blind” (and its derivatives, single- and triple-blind, fully blind, and partially blind or masked) has no standard or widely accepted definition.
Thomas A. Lang, Donna F. Stroup
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KSDP scheme for trajectory data publishing
Shenzhen Daxue xuebao. Ligong ban, 2023 For clustering applications in the field of trajectory privacy protection, the k-means algorithm is sensitive to initial values and the number of clusters may be somewhat arbitrary.
ZHANG Jun +4 more
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A Targeted Privacy-Preserving Data Publishing Method Based on Bayesian Network
IEEE Access, 2022 Privacy-preserving data publishing (PPDP) is an essential prerequisite for data-driven AI technologies, (such as data mining, machine learning, deep learning, etc.) to extract knowledge from data safely and legally.
Zhigang Zhou +3 more
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