Publicações

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

PDF Citação Código Dados DOI

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

Citação Código Dados Documento Fonte DOI

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

Citação Documento Fonte DOI

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.

PDF Citação Pôster Documento Fonte

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

PDF Citação DOI

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.

PDF Citação DOI

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.

PDF Documento Fonte

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.

PDF Citação Vídeo DOI

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.

Documento Fonte

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.

PDF Citação Código DOI

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.

PDF Citação Código Vídeo DOI

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

PDF Citação Código DOI

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

Citação Código Documento Fonte DOI

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

PDF Citação Dados Vídeo DOI