Data Privacy through Optimal k-Anonymization

Author:

Bayardo R.J.,Agrawal R.

Publisher

IEEE

Cited by 227 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. AI-Related Threats to Information Sovereignty and Challenges for Research Ethics;Educational Psychology Review;2024-09

2. Anonymization of Bigdata using ARX Tools;2024 15th International Conference on Information and Communication Systems (ICICS);2024-08-13

3. LLM-PBE: Assessing Data Privacy in Large Language Models;Proceedings of the VLDB Endowment;2024-07

4. HySAAD – A Hybrid Selection Approach for Anonymization by Design in the Automotive Domain;2024 25th IEEE International Conference on Mobile Data Management (MDM);2024-06-24

5. Research and Suggestions for Evaluation Metrics of On-board Video Desensitization;2024 5th International Conference on Information Science, Parallel and Distributed Systems (ISPDS);2024-05-31

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