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Faisal Hamman
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Robust counterfactual explanations for neural networks with probabilistic guarantees
F Hamman, E Noorani, S Mishra, D Magazzeni, S Dutta
International Conference on Machine Learning, 12351-12367, 2023
202023
Demystifying local and global fairness trade-offs in federated learning using partial information decomposition
F Hamman, S Dutta
International Conference on Learning Representations, ICLR 2024., https …, 2024
12*2024
Can querying for bias leak protected attributes? achieving privacy with smooth sensitivity
F Hamman, J Chen, S Dutta
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and …, 2023
92023
A review of partial information decomposition in algorithmic fairness and explainability
S Dutta, F Hamman
Entropy 25 (5), 795, 2023
52023
A Unified View of Group Fairness Tradeoffs Using Partial Information Decomposition
F Hamman, S Dutta
arXiv preprint arXiv:2406.04562, 2024
12024
Robust Algorithmic Recourse Under Model Multiplicity With Probabilistic Guarantees
F Hamman, E Noorani, S Mishra, D Magazzeni, S Dutta
IEEE Journal on Selected Areas in Information Theory, 2024
12024
Quantifying Prediction Consistency Under Model Multiplicity in Tabular LLMs
F Hamman, P Dissanayake, S Mishra, F Lecue, S Dutta
arXiv preprint arXiv:2407.04173, 2024
2024
Quantifying Spuriousness of Biased Datasets Using Partial Information Decomposition
B Halder, F Hamman, P Dissanayake, Q Zhang, I Sucholutsky, S Dutta
arXiv preprint arXiv:2407.00482, 2024
2024
An Entropic Risk Measure for Robust Counterfactual Explanations
E Noorani, F Hamman, S Dutta
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