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| Title | A Study of Data Anonymization in Chile's Public Sector |
| Authors | Tomás Rivas, Federico Olmedo, Matías Toro |
| Publication date | 2025 |
| Abstract | Public institutions in Chile are legally required to release anonymized datasets as part of a national transparency agenda. However, anonymization practices often rely on weak assumptions, and may not prevent re-identification when external information is available. In this paper, we assess the effectiveness of anonymization techniques applied to publicly released microdata from Chilean institutions, covering health, education, migration, and electoral domains.We first analyze structural privacy properties of the datasets using established metrics k-anonymity and l-diversity, revealing widespread vulnerabilities: all datasets are 1-anonymous and 1-diverse. We then conduct re-identification attacks under the motivated intruder model, demonstrating that sensitive information-- such as household income, voting behavior or immigration status--can be inferred in practice.Our results expose a critical gap between legal compliance and actual privacy protection, underscoring the need for more robust anonymization standards as Chile prepares to implement its new Personal Data Protection Law. |
| Pages | 1-8 |
| Conference name | Proceedings of the International Conference of the Chilean Computer Science Society |
| Publisher | IEEE Computer Society Press (Los Alamitos, CA, USA) |
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