Highlights

Flexible and scalable privacy assessment for very large datasets with an application to official governmental microdata was accepted at PETS! To appear on PoPETs 2022!
The project A robust and explainable framework based on QIF for assessing big data privacy risks was awarded in the 2021 Google Latin America Research Awards!
My Masters thesis has been published by UFMG!
On Privacy and Accuracy in Data Releases was published at CONCUR 2020!

Posts

What is the World Community Grid?

What if you could support causes you care about while reading this post?

Gabriel H. Nunes

Last updated on 19 Jul 2020 3 min read

Publications

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

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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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Talks

Case study on privacy and transparency in data publishing

Talk in Portuguese.

17 Feb 2020 13:00 -0300 Instituto de Ciências Exatas, Universidade Federal de Minas Gerais

Gabriel H. Nunes