Sébastien Gambs
Canada Research Chair in Privacy-preserving and Ethical Analysis of Big Data
About
Biography and research interests
Curriculum vitae
Contact
Research projects
Publications
Team
Presentations
Teaching
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About
Biography and research interests
Curriculum vitae
Contact
Research projects
Publications
Team
Presentations
Teaching
News
PhD student
Sofiane Azogagh (UQAM)
Homomorphic encryption and privacy-preserving machine learning (2021-2024)
Louis Béziaud (UQAM – Université de Rennes 1)
Privacy and ethical issues in artificial intelligence and law (2019-2022)
Guillaume Gagnon (UQAM)
Privacy and security in the Internet of Things (2021-2024)
Julien Ferry (LAAS-CNRS)
Privacy and ethics in machine learning through optimization approaches (2020-2023)
Hadrien Lautraite (UQAM)
Privacy-preserving approaches to data synthetization (2022-2025)
Arnaud Leponce (UQAM – ULB)
Privacy issues in digital assistant (2022-2028)
Maryam Babaie (ÉTS Montréal)
Privacy and explainability in machine learning (2022-2025)
Patrick Mesana (HEC Montréal)
Data valuation and privacy (2022-2025)
Sylvain Desharnais (UQAM)
Towards an operational definition of privacy (2021-2024)
Youcef Korichi (Université Laval)
Quantitative information flow approaches to privacy-preserving machine learning (2020-2024)