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Formal Methods, Quantitative Information Flow, Responsible Computing, Artificial Intelligence, Neuroscience
Brazil, Australia

Biography

Cotutelle Doctoral candidate in Computer Science at the Federal University of Minas Gerais (UFMG), Brazil, and at Macquarie University, Australia. Master in Computer Science and Bachelor in Physics from UFMG. Interested in Formal Methods, Quantitative Information Flow, Responsible Computing (e.g. Privacy, Utility, Fairness), Artificial Intelligence, and Neuroscience.

Activities

Employment (3)

Macquarie University: Sydney, New South Wales, AU

Employment
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Macquarie University

Google: New York, NY, US

2022-07-25 to 2022-11-25 | Student Researcher (Google Research)
Employment
Source: Self-asserted source
Gabriel H. Nunes

Fundação de Desenvolvimento da Pesquisa: Belo Horizonte, Minas Gerais, BR

2020-12-01 to 2021-03-31 | Information Security Analyst
Employment
Source: Self-asserted source
Gabriel H. Nunes

Education and qualifications (5)

Macquarie University: Sydney, New South Wales, AU

Education
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Macquarie University

Macquarie University: Sydney, New South Wales, AU

2023-02-01 to present | Computer Science, PhD (Department of Computing)
Education
Source: Self-asserted source
Gabriel H. Nunes

Universidade Federal de Minas Gerais: Belo Horizonte, MG, BR

2021-07-01 to present | Computer Science, PhD (Department of Computer Science)
Education
Source: Self-asserted source
Gabriel H. Nunes

Universidade Federal de Minas Gerais: Belo Horizonte, MG, BR

2019-02-25 to 2021-04-28 | Computer Science, MSc (Department of Computer Science)
Education
Source: Self-asserted source
Gabriel H. Nunes

Universidade Federal de Minas Gerais: Belo Horizonte, MG, BR

2014-03-03 to 2018-08-09 | Physics, BSc (Department of Physics)
Education
Source: Self-asserted source
Gabriel H. Nunes

Professional activities (1)

Macquarie University: Sydney, NSW, AU

2019-09-20 to 2019-11-22 | Visiting Scholar (Department of Computing)
Invited position
Source: Self-asserted source
Gabriel H. Nunes

Funding (1)

A robust and explainable QIF-based framework for assessing big data privacy risks

2022-02 to 2023-01 | Award
Google (Belo Horizonte, MG, BR)
Source: Self-asserted source
Gabriel H. Nunes

Works (10)

The Privacy-Utility Trade-off in the Topics API

2024-12-02 | Conference paper
Contributors: Mário S. Alvim; Natasha Fernandes; Annabelle McIver; Gabriel H. Nunes
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Crossref
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Preferred source (of 2)‎

AOL dataset for browsing history and topics of interest

ACM Conference on Computer and Communications Security, CCS 2024, Salt Lake City, United States, 14/10/24
2024-06-21 | Dataset | Author
SOURCE-WORK-ID:

a43bb686-da5c-4b8e-80a8-458938256b1e

Contributors: Gabriel H. Nunes
Source: check_circle
Macquarie University

A Quantitative Information Flow Analysis of the Topics API

2023-11-26 | Conference paper
Contributors: Mário S. Alvim; Natasha Fernandes; Annabelle McIver; Gabriel H. Nunes
Source: check_circle
Crossref

A Novel Analysis of Utility in Privacy Pipelines, Using Kronecker Products and Quantitative Information Flow

2023-11-15 | Conference paper
Contributors: Mário S. Alvim; Natasha Fernandes; Annabelle McIver; Carroll Morgan; Gabriel H. Nunes
Source: check_circle
Crossref

Measuring Re-identification Risk

Proceedings of the ACM on Management of Data
2023-06-13 | Journal article
Contributors: CJ Carey; Travis Dick; Alessandro Epasto; Adel Javanmard; Josh Karlin; Shankar Kumar; Andres Muñoz Medina; Vahab Mirrokni; Gabriel Henrique Nunes; Sergei Vassilvitskii et al.
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Crossref
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A formal quantitative study of privacy in the publication of official educational censuses in Brazil

Anais do XXXV Concurso de Teses e Dissertações (CTD 2022)
2022-07-31 | Conference paper
Contributors: Mário S. Alvim; Annabelle McIver; Gabriel H. Nunes
Source: Self-asserted source
Gabriel H. Nunes

Flexible and scalable privacy assessment for very large datasets, with an application to official governmental microdata

Proceedings on Privacy Enhancing Technologies
2022-07-11 | Journal article
Part of ISSN: 2299-0984
Version of ARXIV: 2204.13734
Contributors: Mário S. Alvim; Natasha Fernandes; Annabelle McIver; Carroll Morgan; Gabriel H. Nunes
Source: Self-asserted source
Gabriel H. Nunes

A formal quantitative study of privacy in the publication of official educational censuses in Brazil

2021-04-28 | Dissertation or Thesis
HANDLE: 1843/38085
Contributors: Gabriel H. Nunes
Source: Self-asserted source
Gabriel H. Nunes

BVM library

Zenodo
2021-04-28 | Software
Contributors: Gabriel H. Nunes
Source: Self-asserted source
Gabriel H. Nunes

On Privacy and Accuracy in Data Releases

Schloss Dagstuhl - Leibniz-Zentrum für Informatik
2020-08-26 | Journal article
Contributors: Mário S. Alvim; Natasha Fernandes; Annabelle McIver; Gabriel H. Nunes
Source: Self-asserted source
Gabriel H. Nunes
grade
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