Muhammad Bilal Zafar

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 43

Top Venues

Saarland University, Saarbrücken, Germany (PHD)

Education History

Saarland University, Saarbrücken, Germany

PHD

Publications

Ben Snyder, Marius Moisescu, Muhammad Bilal Zafar
On Early Detection of Hallucinations in Factual Question Answering. KDD (2024)
Pola Schwöbel, Luca Franceschi, Muhammad Bilal Zafar, Keerthan Vasist, Aman Malhotra, Tomer Shenhar, Pinal Tailor, Pinar Yilmaz, Michael Diamond, Michele Donini
Evaluating Large Language Models with fmeval. CoRR (2024)
Matthäus Kleindessner, Michele Donini, Chris Russell, Muhammad Bilal Zafar
Efficient fair PCA for fair representation learning. AISTATS (2023)
Matthäus Kleindessner, Michele Donini, Chris Russell, Muhammad Bilal Zafar
Efficient fair PCA for fair representation learning. CoRR (2023)
Luca Franceschi, Cemre Zor, Muhammad Bilal Zafar, Gianluca Detommaso, Cédric Archambeau, Tamas Madl, Michele Donini, Matthias W. Seeger
Explaining Multiclass Classifiers with Categorical Values: A Case Study in Radiography. TML4H (2023)
Mia C. Mayer, Muhammad Bilal Zafar, Luca Franceschi, Huzefa Rangwala
Hands-on Tutorial: "Explanations in AI: Methods, Stakeholders and Pitfalls". KDD (2023)
Ben Snyder, Marius Moisescu, Muhammad Bilal Zafar
On Early Detection of Hallucinations in Factual Question Answering. CoRR (2023)
Matthäus Kleindessner, Samira Samadi, Muhammad Bilal Zafar, Krishnaram Kenthapadi, Chris Russell
Pairwise Fairness for Ordinal Regression. AISTATS (2022)
David Nigenda, Zohar Karnin, Muhammad Bilal Zafar, Raghu Ramesha, Alan Tan, Michele Donini, Krishnaram Kenthapadi
Amazon SageMaker Model Monitor: A System for Real-Time Insights into Deployed Machine Learning Models. KDD (2022)
Parantapa Bhattacharya, Saptarshi Ghosh, Muhammad Bilal Zafar, Soumya K. Ghosh, Niloy Ganguly
What You Like: Generating Explainable Topical Recommendations for Twitter Using Social Annotations. CoRR (2022)
Déborah Sulem, Michele Donini, Muhammad Bilal Zafar, Francois-Xavier Aubet, Jan Gasthaus, Tim Januschowski, Sanjiv Das, Krishnaram Kenthapadi, Cédric Archambeau
Diverse Counterfactual Explanations for Anomaly Detection in Time Series. CoRR (2022)
Yigitcan Kaya, Muhammad Bilal Zafar, Sergül Aydöre, Nathalie Rauschmayr, Krishnaram Kenthapadi
Generating Distributional Adversarial Examples to Evade Statistical Detectors. ICML (2022)
Muhammad Bilal Zafar, Michele Donini, Dylan Slack, Cédric Archambeau, Sanjiv Das, Krishnaram Kenthapadi
On the Lack of Robust Interpretability of Neural Text Classifiers. CoRR (2021)
Umang Bhatt, Isabel Chien, Muhammad Bilal Zafar, Adrian Weller
DIVINE: Diverse Influential Training Points for Data Visualization and Model Refinement. CoRR (2021)
Michaela Hardt, Xiaoguang Chen, Xiaoyi Cheng, Michele Donini, Jason Gelman, Satish Gollaprolu, John He, Pedro Larroy, Xinyu Liu, Nick McCarthy, Ashish Rathi, Scott Rees, Ankit A. Siva, ErhYuan Tsai, Keerthan Vasist, Pinar Yilmaz, Muhammad Bilal Zafar, Sanjiv Das, Kevin Haas, Tyler Hill, Krishnaram Kenthapadi
Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud. CoRR (2021)
Michaela Hardt, Xiaoguang Chen, Xiaoyi Cheng, Michele Donini, Jason Gelman, Satish Gollaprolu, John He, Pedro Larroy, Xinyu Liu, Nick McCarthy, Ashish Rathi, Scott Rees, Ankit A. Siva, ErhYuan Tsai, Keerthan Vasist, Pinar Yilmaz, Muhammad Bilal Zafar, Sanjiv Das, Kevin Haas, Tyler Hill, Krishnaram Kenthapadi
Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud. KDD (2021)
Robin Schmucker, Michele Donini, Muhammad Bilal Zafar, David Salinas, Cédric Archambeau
Multi-objective Asynchronous Successive Halving. CoRR (2021)
David Nigenda, Zohar Karnin, Muhammad Bilal Zafar, Raghu Ramesha, Alan Tan, Michele Donini, Krishnaram Kenthapadi
Amazon SageMaker Model Monitor: A System for Real-Time Insights into Deployed Machine Learning Models. CoRR (2021)
Matthäus Kleindessner, Samira Samadi, Muhammad Bilal Zafar, Krishnaram Kenthapadi, Chris Russell
Pairwise Fairness for Ordinal Regression. CoRR (2021)
Valerio Perrone, Michele Donini, Muhammad Bilal Zafar, Robin Schmucker, Krishnaram Kenthapadi, Cédric Archambeau
Fair Bayesian Optimization. AIES (2021)
Junaid Ali, Muhammad Bilal Zafar, Adish Singla, Krishna P. Gummadi
Loss-Aversively Fair Classification. CoRR (2021)
Muhammad Bilal Zafar, Michele Donini, Dylan Slack, Cédric Archambeau, Sanjiv Das, Krishnaram Kenthapadi
On the Lack of Robust Interpretability of Neural Text Classifiers. ACL/IJCNLP (Findings) (2021)
Muhammad Bilal Zafar, Philipp Schmidt, Michele Donini, Cédric Archambeau, Felix Biessmann, Sanjiv Ranjan Das, Krishnaram Kenthapadi
More Than Words: Towards Better Quality Interpretations of Text Classifiers. CoRR (2021)
Vedant Nanda, Till Speicher, John P. Dickerson, Krishna P. Gummadi, Muhammad Bilal Zafar
Unifying Model Explainability and Robustness via Machine-Checkable Concepts. CoRR (2020)
Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi
Fairness Constraints: A Flexible Approach for Fair Classification. J. Mach. Learn. Res. 20 (2019)
Junaid Ali, Muhammad Bilal Zafar, Adish Singla, Krishna P. Gummadi
Loss-Aversively Fair Classification. AIES (2019)
Juhi Kulshrestha, Motahhare Eslami, Johnnatan Messias, Muhammad Bilal Zafar, Saptarshi Ghosh, Krishna P. Gummadi, Karrie Karahalios
Search bias quantification: investigating political bias in social media and web search. Inf. Retr. J. 22 (1-2) (2019)
Nina Grgic-Hlaca, Muhammad Bilal Zafar, Krishna P. Gummadi, Adrian Weller
Beyond Distributive Fairness in Algorithmic Decision Making: Feature Selection for Procedurally Fair Learning. AAAI (2018)
Till Speicher, Hoda Heidari, Nina Grgic-Hlaca, Krishna P. Gummadi, Adish Singla, Adrian Weller, Muhammad Bilal Zafar
A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual &Group Unfairness via Inequality Indices. KDD (2018)
Till Speicher, Hoda Heidari, Nina Grgic-Hlaca, Krishna P. Gummadi, Adish Singla, Adrian Weller, Muhammad Bilal Zafar
A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual & Group Unfairness via Inequality Indices. CoRR (2018)
Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi, Adrian Weller
From Parity to Preference-based Notions of Fairness in Classification. CoRR (2017)
Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi, Adrian Weller
From Parity to Preference-based Notions of Fairness in Classification. NIPS (2017)
Juhi Kulshrestha, Muhammad Bilal Zafar, Lisette Espin Noboa, Krishna P. Gummadi, Saptarshi Ghosh
Characterizing Information Diets of Social Media Users. CoRR (2017)
Nina Grgic-Hlaca, Muhammad Bilal Zafar, Krishna P. Gummadi, Adrian Weller
On Fairness, Diversity and Randomness in Algorithmic Decision Making. CoRR (2017)
Juhi Kulshrestha, Motahhare Eslami, Johnnatan Messias, Muhammad Bilal Zafar, Saptarshi Ghosh, Krishna P. Gummadi, Karrie Karahalios
Quantifying Search Bias: Investigating Sources of Bias for Political Searches in Social Media. CoRR (2017)
Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi
Fairness Constraints: Mechanisms for Fair Classification. AISTATS (2017)
Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi
Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment. WWW (2017)
Juhi Kulshrestha, Motahhare Eslami, Johnnatan Messias, Muhammad Bilal Zafar, Saptarshi Ghosh, Krishna P. Gummadi, Karrie Karahalios
Quantifying Search Bias: Investigating Sources of Bias for Political Searches in Social Media. CSCW (2017)
Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi
Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment. CoRR (2016)
Miguel Ferreira, Muhammad Bilal Zafar, Krishna P. Gummadi
The Case for Temporal Transparency: Detecting Policy Change Events in Black-Box Decision Making Systems. CoRR (2016)
Muhammad Bilal Zafar, Parantapa Bhattacharya, Niloy Ganguly, Saptarshi Ghosh, Krishna P. Gummadi
On the Wisdom of Experts vs. Crowds: Discovering Trustworthy Topical News in Microblogs. CSCW (2016)
Muhammad Bilal Zafar, Krishna P. Gummadi, Cristian Danescu-Niculescu-Mizil
Message Impartiality in Social Media Discussions. ICWSM (2016)
Pedro Moreno-Sanchez, Muhammad Bilal Zafar, Aniket Kate
Listening to Whispers of Ripple: Linking Wallets and Deanonymizing Transactions in the Ripple Network. Proc. Priv. Enhancing Technol. 2016 (4) (2016)
Juhi Kulshrestha, Muhammad Bilal Zafar, Lisette Espin Noboa, Krishna P. Gummadi, Saptarshi Ghosh
Characterizing Information Diets of Social Media Users. ICWSM (2015)
Muhammad Bilal Zafar, Parantapa Bhattacharya, Niloy Ganguly, Krishna P. Gummadi, Saptarshi Ghosh
Sampling Content from Online Social Networks: Comparing Random vs. Expert Sampling of the Twitter Stream. ACM Trans. Web 9 (3) (2015)
Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi
Fairness Constraints: A Mechanism for Fair Classification. CoRR (2015)
Bimal Viswanath, Muhammad Ahmad Bashir, Muhammad Bilal Zafar, Simon Bouget, Saikat Guha, Krishna P. Gummadi, Aniket Kate, Alan Mislove
Strength in Numbers: Robust Tamper Detection in Crowd Computations. COSN (2015)
Parantapa Bhattacharya, Saptarshi Ghosh, Juhi Kulshrestha, Mainack Mondal, Muhammad Bilal Zafar, Niloy Ganguly, Krishna P. Gummadi
Deep Twitter diving: exploring topical groups in microblogs at scale. CSCW (2014)
Parantapa Bhattacharya, Muhammad Bilal Zafar, Niloy Ganguly, Saptarshi Ghosh, Krishna P. Gummadi
Inferring user interests in the Twitter social network. RecSys (2014)
Shahida Jabeen, Muhammad Bilal Zafar, Ihsan Ayyub Qazi, Zartash Afzal Uzmi
SplitBuff: Improving the interaction of heterogeneous RTT flows on the Internet. ICC (2013)
Saptarshi Ghosh, Muhammad Bilal Zafar, Parantapa Bhattacharya, Naveen Kumar Sharma, Niloy Ganguly, P. Krishna Gummadi
On sampling the wisdom of crowds: random vs. expert sampling of the twitter stream. CIKM (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Muhammad Bilal Zafar