Assistant Professor · ÉTS Montréal
Héber H. Arcolezi
I design, analyze, and audit privacy-preserving machine learning systems, with a focus on differential privacy, inference risks, and fairness.
About
I am an Assistant Professor in the Department of Software and Information Technology Engineering at ÉTS Montréal, where I co-lead the Trustworthy Information Systems Lab (TISL) research group. Previously, I was a Tenured Research Scientist at Inria Grenoble.
I received my Ph.D. in Computer Science from the University of Bourgogne Franche-Comté (UBFC), my M.Sc. in Electrical Engineering from the São Paulo State University (UNESP), and my B.Eng. in Electrical Engineering from the Mato Grosso State University (UNEMAT).
Research Focus
My research addresses the technical challenges of Responsible AI through the lenses of fairness, privacy-preserving techniques, and explainability. My goal is to design systems that are both mathematically private and socially equitable.
Recent News
Show all news (12 more)
- Private Frequency Estimation Via Residue Number Systems: https://www.arxiv.org/abs/2511.11569.
- Estimating the True Distribution of Data Collected with Randomized Response: https://arxiv.org/abs/2601.08603.
Selected Publications
Understanding Disclosure Risk in Differential Privacy with Applications to Noise Calibration and Auditing
Where to Intervene? Benchmarking Fairness-Aware Learning on Differentially Private Synthetic Tabular Data
Quantifying the Privacy of Counterfactuals by Leveraging Membership Inference Attacks Against Synthetic Data
Contact
I am always happy to discuss the possibility of new collaborations.
- Postal Address
- 1100, rue Notre-Dame Ouest, Montréal (Qc) H3C 1K3, Canada.
Last update: Oct 7, 2026.