 Stress-Testing ML Pipelines with Adversarial Data CorruptionProceedings of the VLDB Endowment (PVLDB), 2025 |
 Is it Still Fair? A Comparative Evaluation of Fairness Algorithms
through the Lens of Covariate DriftMachine-mediated learning (ML), 2024 |
 How Far Can Fairness Constraints Help Recover From Biased Data?International Conference on Machine Learning (ICML), 2023 |
 Explainable Disparity Compensation for Efficient Fair RankingIEEE International Conference on Data Engineering (ICDE), 2023 |
 Non-Invasive Fairness in Learning through the Lens of Data DriftIEEE International Conference on Data Engineering (ICDE), 2023 |
 Consistent Range Approximation for Fair Predictive ModelingProceedings of the VLDB Endowment (PVLDB), 2022 |
