Confidentiality in Machine Learning
Talk at EDCC conference, Leuven, Leuven, Belgium
CV
Education
- B.S. in GitHub, GitHub University, 2012
- M.S. in Jekyll, GitHub University, 2014
- Ph.D in Version Control Theory, GitHub University, 2018 (expected)
Work experience
- Summer 2015: Research Assistant
- Github University
- Duties included: Tagging issues
- Supervisor: Professor Git
- Fall 2015: Research Assistant
- Github University
- Duties included: Merging pull requests
- Supervisor: Professor Hub
Skills
- Skill 1
- Skill 2
- Sub-skill 2.1
- Sub-skill 2.2
- Sub-skill 2.3
- Skill 3
Publications
Talks
De l’usage du chiffrement homomorphe dans l’apprentissage machine : Confiance et Confidentialité des données et des modèles
Talk at CyberEco CyberConférence, Montréal, Montréal, Québec, Canada
Confidentiality in Machine Learning
Talk at Mobilit'AI conference, Montréal, Montréal, Québec, Canada
Un protocole SMPC de curation de données d’entrainement et sa fragilité aux hypothèses de sécurité : Sécurité et insécurité - dans quel état j’erre, ai-je bien rangé mon modèle de sécurité ?
Talk at LAAS-CNRS, Toulouse, France
An SMPC training data curation protocol and its fragility to security assumptions : Being actors of our own privacy failure
Talk at Shonan post meeting on Biggest Failures of Privacy, Montréal, Montréal, Québec, Canada
Teaching
Service and leadership
- Currently signed in to 43 different slack teams