3 papers
cs.LG2026
Efficient Active Auditing of Multi-Group Fairness with Bias Probes
Ayoub Ajarra, Debabrota Basu
Over the past decade, Machine Learning (ML) has been trained under dual objectives: minimizing prediction error via Empirical Risk Minimization (ERM) while controlling unfairness b…
cs.LG2026
Auditing Fairness under Model Updates: Fundamental Complexity and Property-Preserving Updates
Ayoub Ajarra, Debabrota Basu
As machine learning models become increasingly embedded in societal infrastructure, auditing them for bias is of growing importance. However, in real-world deployments, auditing is…
cs.LG2024
Active Fourier Auditor for Estimating Distributional Properties of ML Models
Ayoub Ajarra, Bishwamittra Ghosh, Debabrota Basu
With the pervasive deployment of Machine Learning (ML) models in real-world applications, verifying and auditing properties of ML models have become a central concern. In this work…