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Optimizing Privacy While Limiting Information Loss in Distributed Data Anonymization

Year: 2024

Type: conference-paper

Source: IEEE International Conference on Big Data (BigData)

DOI: 10.1109/bigdata62323.2024.10825321

Authors: Arseme Vadèle Djeufack Nanfack, Gaël Le Mahec, Gilles Dequen

Institutions: Modélisation, information et systèmes, Université de Picardie Jules Verne

Language: English

Topic: Privacy-Preserving Technologies in Data

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4406495941

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Cites: 34

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Related to: 10