Overview

The AUDIT-PAIR associated research team is a collaborative research initiative involving Inria and three Canadian partners (UQAM, ÉTS Montréal, and uOttawa). Our goal is to advance research and development in AI system auditing, with a specific focus on privacy and fairness issues in ML. Initiated in 2024, AUDIT-PAIR involves researchers from the Inria Privatics team, UQAM’s LATECE team, ÉTS Montréal’s TISL team, and uOttawa’s CDTS center.

Research Directions

• Privacy-Preserving Machine Learning
• Differential Privacy Auditing
• Bias Detection and Mitigation in Machine Learning