About
My reserach interesets include responsible computing, privacy, Quantitative Information Flow (QIF), differential privacy and information theory.
More about QIF: Topete Research Group.
Education
Studying a formal model for interpreting privacy as resistance to inferences under the supervision of Catuscia Palamidessi and Mário S. Alvim.
Thesis defended and approved in January 11, 2023, titled A Quantitative Information Flow Model for Attribute-Inference Attacks and Utility in Data Releases by Sampling.
Supervised by professor Mário Sérgio Alvim.
Member of the team that executed the PRICE (Privacidade nos Censos Educacionais) project, a cooperation between the Department of Computer Science of UFMG and Inep (Instituto Nacional de Estudos e Pesquisas Educacionais Anísio Teixeira). Studied methods to control data disclosure, focused especially on those based in differential privacy. The work has been used by Inep in reviewing privacy policies in the disclosure of official educational census data.
CAPES scholarship at the Graduate Program in Computer Science.