Gabriel H. Nunes
PhD candidate in Computer Science
Macquarie University, Australia
Federal University of Minas Gerais, Brazil
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, Artificial Intelligence, and Neuroscience.
Member of Topete Research Group and INSCRYPT | T-Rex Laboratory.
Interests
- Formal Methods
- Quantitative Information Flow
- Responsible Computing
- Artificial Intelligence
- Neuroscience
Education
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PhD in Computer Science, 2025
Macquarie University, Australia
-
PhD in Computer Science, 2025
Federal University of Minas Gerais, Brazil
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MSc in Computer Science, 2021
Federal University of Minas Gerais, Brazil
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BSc in Physics, 2018
Federal University of Minas Gerais, Brazil
Highlights
- The conference paper A novel analysis of utility in privacy pipelines, using Kronecker products and quantitative information flow was published at CCS 2023!
- The workshop paper A Quantitative Information Flow Analysis of the Topics API was published at WPES 2023!
- 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!
Publications
(2023).
A new Framework for Measuring Re-Identification Risk.
RegML @ NeurIPS 2023.
(2023).
A Quantitative Information Flow Analysis of the Topics API.
WPES 2023.
(2023).
A Novel Analysis of Utility in Privacy Pipelines, Using Kronecker Products and Quantitative Information Flow.
CCS 2023.
(2023).
A novel analysis of utility in privacy pipelines, using Kronecker products and quantitative information flow.
TPDP 2023.
(2023).
Measuring Re-identification Risk.
SIGMOD/PODS 2023.