Zafar, Muhammad Bilal

8 publications

NeurIPSW 2024 The Impact of Inference Acceleration Strategies on Bias of Large Language Models Elisabeth Kirsten, Ivan Habernal, Vedant Nanda, Muhammad Bilal Zafar

AISTATS 2023 Efficient Fair PCA for Fair Representation Learning Matthäus Kleindessner, Michele Donini, Chris Russell, Muhammad Bilal Zafar

ICLRW 2023 Explaining Multiclass Classifiers with Categorical Values: A Case Study in Radiography Luca Franceschi, Cemre Zor, Muhammad Bilal Zafar, Gianluca Detommaso, Cedric Archambeau, Tamas Madl, Michele Donini, Matthias Seeger

ICML 2022 Generating Distributional Adversarial Examples to Evade Statistical Detectors Yigitcan Kaya, Muhammad Bilal Zafar, Sergul Aydore, Nathalie Rauschmayr, Krishnaram Kenthapadi

JMLR 2019 Fairness Constraints: A Flexible Approach for Fair Classification Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi

AAAI 2018 Beyond Distributive Fairness in Algorithmic Decision Making: Feature Selection for Procedurally Fair Learning Nina Grgic-Hlaca, Muhammad Bilal Zafar, Krishna P. Gummadi, Adrian Weller

AISTATS 2017 Fairness Constraints: Mechanisms for Fair Classification Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi

NeurIPS 2017 From Parity to Preference-Based Notions of Fairness in Classification Muhammad Bilal Zafar, Isabel Valera, Manuel Rodriguez, Krishna Gummadi, Adrian Weller