Results 11 to 20 of about 24,103,638 (294)
Privacy Beyond the Face: Assessing Gait Privacy Through Realistic Anonymization in Industrial Monitoring [PDF]
SensorsIn modern industrial environments, camera-based monitoring is essential for workflow optimization, safety, and process control, yet it raises significant privacy concerns when people are recorded.
Sarah Weiß +4 more
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Guardians of the data: NER and LLMs for effective medical record anonymization in Brazilian Portuguese [PDF]
Frontiers in Public HealthIntroductionThe anonymization of medical records is essential to protect patient privacy while enabling the use of clinical data for research and Natural Language Processing (NLP) applications.
Mauricio Schiezaro +3 more
doaj +2 more sources
Data Anonymization through Collaborative Multi-view Microaggregation
Journal of Intelligent Systems, 2020 The interest in data anonymization is exponentially growing, motivated by the will of the governments to open their data. The main challenge of data anonymization is to find a balance between data utility and the amount of disclosure risk.
Zouinina Sarah +3 more
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Data Anonymization Using Pseudonym System to Preserve Data Privacy
IEEE Access, 2020 Data collection and storage in a large size is done on a routine basis in any company or organization. To this end, wireless network infrastructure and cloud computing are two widely-used tools.
Shukor Abd Razak +2 more
doaj +2 more sources
Dataset of anonymized discharge summaries of sepsis patients from a Brazilian tertiary hospital for NLP applications.Dataverse [PDF]
Data in BriefThe availability of Brazilian Portuguese health record text datasets for Natural Language Processing (NLP) applications is limited, especially for educational purposes.
Rildo Pinto da Silva +1 more
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JMIR Medical Informatics, 2021 BackgroundSpontaneous reporting systems (SRSs) have been increasingly established to collect adverse drug events for fostering adverse drug reaction (ADR) detection and analysis research. SRS data contain personal information, and
Jie-Teng Wang, Wen-Yang Lin
doaj +1 more source
A Multi-Objective Degree-Based Network Anonymization Method
Algorithms, 2023 Enormous amounts of data collected from social networks or other online platforms are being published for the sake of statistics, marketing, and research, among other objectives.
Ola N. Halawi +2 more
doaj +1 more source
An Enterprise Data Privacy Governance Model: Security-Centric Multi-Model Data Anonymization
Uluslararası Muhendislik Arastirma ve Gelistirme Dergisi, 2023 The increasing need for data privacy and the rising complexity of data environments necessitate robust data anonymization techniques to safeguard personal and sensitive information.
Y. Sahin, I. Dogru
semanticscholar +1 more source
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data, 2009 Data anonymization techniques have been the subject of intense investigation in recent years, for many kinds of structured data, including tabular, graph and item set data. They enable publication of detailed information, which permits ad hoc queries and analyses, while guaranteeing the privacy of sensitive information in the data against a variety of ...
Graham Cormode, Divesh Srivastava
openaire +1 more source
Anonymization Procedures for Tabular Data: An Explanatory Technical and Legal Synthesis
Information, 2023 In the European Union, Data Controllers and Data Processors, who work with personal data, have to comply with the General Data Protection Regulation and other applicable laws. This affects the storing and processing of personal data.
Robert Aufschläger +6 more
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