Publications

Mário S. Alvim, Natasha Fernandes, Annabelle McIver, Gabriel H. Nunes (2024). The Privacy-Utility Trade-off in the Topics API. CCS 2024.

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Gabriel H. Nunes (2024). Topics API Analysis. CCS 2024.

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Gabriel H. Nunes (2024). AOL Dataset for Browsing History and Topics of Interest. CCS 2024.

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CJ Carey, Travis Dick, Alessandro Epasto, Adel Javanmard, Josh Karlin, Shankar Kumar, Andres Muñoz Medina, Vahab Mirrokni, Gabriel H. Nunes, Sergei Vassilvitskii, Peilin Zhong (2023). A new Framework for Measuring Re-Identification Risk. RegML @ NeurIPS 2023.

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Mário S. Alvim, Natasha Fernandes, Annabelle McIver, Gabriel H. Nunes (2023). A Quantitative Information Flow Analysis of the Topics API. WPES 2023.

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Mário S. Alvim, Natasha Fernandes, Annabelle McIver, Carroll Morgan, Gabriel H. Nunes (2023). A Novel Analysis of Utility in Privacy Pipelines, Using Kronecker Products and Quantitative Information Flow. CCS 2023.

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Mário S. Alvim, Natasha Fernandes, Annabelle McIver, Carroll Morgan, Gabriel H. Nunes (2023). A novel analysis of utility in privacy pipelines, using Kronecker products and quantitative information flow. TPDP 2023.

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CJ Carey, Travis Dick, Alessandro Epasto, Adel Javanmard, Josh Karlin, Shankar Kumar, Andres Muñoz Medina, Vahab Mirrokni, Gabriel H. Nunes, Sergei Vassilvitskii, Peilin Zhong (2023). Measuring Re-identification Risk. SIGMOD/PODS 2023.

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CJ Carey, Travis Dick, Alessandro Epasto, Adel Javanmard, Josh Karlin, Shankar Kumar, Andres Muñoz Medina, Vahab Mirrokni, Gabriel H. Nunes, Sergei Vassilvitskii, Peilin Zhong (2023). Measuring Re-identification Risk. SecWeb 2023.

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Mário S. Alvim, Annabelle McIver, Gabriel H. Nunes (2022). A formal quantitative study of privacy in the publication of official educational censuses in Brazil. CTD 2022.

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Mário S. Alvim, Natasha Fernandes, Annabelle McIver, Carroll Morgan, Gabriel H. Nunes (2022). Flexible and scalable privacy assessment for very large datasets, with an application to official governmental microdata. PETS 2022.

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Gabriel H. Nunes (2021). A formal quantitative study of privacy in the publication of official educational censuses in Brazil. UFMG.

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Gabriel H. Nunes (2021). Bayes Vulnerability for Microdata (BVM) library. PETS 2022.

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Mário S. Alvim, Natasha Fernandes, Annabelle McIver, Gabriel H. Nunes (2020). On Privacy and Accuracy in Data Releases. CONCUR 2020.

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