Muhammad Bilal Zafar

Doctoral Student

MPI-SWS
Campus E 1 4
D-66123 Saarbruecken
Germany
Tel: +49 681 9303-9212
Fax: +49 681 9303-5719
mzafar -at- mpi-sws -dot- org

About

I am a PhD student at Max Planck Institute for Software Systems. I am co-advised by Krishna P. Gummadi and Manuel Gomez Rodriguez. Before joining MPI-SWS, I completed my undergraduate studies from LUMS School of Science and Engineering, Lahore, Pakistan.

My research interests include measuring and analyzing social computing systems, retrieving diverse and trustworthy information on online social networks and bringing transparency to online search and recommendation systems.

Education

  • Max Planck Institute for Software Systems, Germany
    Doctoral Student

  • Saarland University, Germany (December 2015)
    MS, Computer Science

  • School of Science and Engineering, LUMS, Pakistan (June 2012)
    BS, Computer Science

Codes, datasets and web-services

Publications

  • From Parity to Preference-based Notions of Fairness in Classification
    Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez Rodriguez, Krishna P. Gummadi and Adrian Weller
    FATML 2017, Halifax, Canada, August 2017.
    [PDF] [arXiv]

  • On Fairness, Diversity and Randomness in Algorithmic Decision Making
    Nina Grgić-Hlača, Muhammad Bilal Zafar, Krishna P. Gummadi and Adrian Weller
    FATML 2017, Halifax, Canada, August 2017.
    [arXiv]

  • Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment
    Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez Rodriguez and Krishna P. Gummadi
    WWW 2017, Perth, Australia, April 2017.
    (Best paper honorable mention)
    [PDF] [arXiv] [Code]
    Also presented at FATML 2016, New York City, NY, November 2016.

  • Fairness Constraints: Mechanisms for Fair Classification
    Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez Rodriguez and Krishna P. Gummadi
    AISTATS 2017, Fort Lauderdale, FL, April 2017.
    [PDF] [arXiv] [Code]
    Also presented at FATML 2015, Lille, France, July 2015.

  • The Case for Process Fairness in Learning: Feature Selection for Fair Decision Making
    Nina Grgić-Hlača, Muhammad Bilal Zafar, Krishna P. Gummadi and Adrian Weller
    NIPS Symposium on ML and the Law, Barcelona, Spain, December 2016.
    (Best paper award)
    [PDF]

  • The Case for Temporal Transparency: Detecting Policy Change Events in Black-Box Decision Making Systems
    Miguel Ferreira, Muhammad Bilal Zafar and Krishna P. Gummadi
    FATML 2016, New York City, NY, November 2016.
    [arXiv]

  • Listening to Whispers of Ripple: Linking Wallets and Deanonymizing Transactions in the Ripple Network
    Pedro Moreno-Sanchez, Muhammad Bilal Zafar and Aniket Kate
    PETS 2016, Darmstadt, Germany, May 2016.
    [PDF]

  • Message Impartiality in Social Media Discussions
    Muhammad Bilal Zafar, Krishna P. Gummadi and Cristian Danescu-Niculescu-Mizil
    ICWSM 2016, Cologne, Germany, May 2016.
    [PDF] [Data]

  • On the Wisdom of Experts vs. Crowds: Discovering Trustworthy Topical News in Microblogs
    Muhammad Bilal Zafar, Parantapa Bhattacharya, Niloy Ganguly, Saptarshi Ghosh and Krishna P. Gummadi
    CSCW 2016, San Francisco, CA, February 2016.
    [PDF]

  • Strength in Numbers: Robust Tamper Detection in Crowd Computations
    Bimal Viswanath, Muhammad Ahmad Bashir, Muhammad Bilal Zafar, Simon Bouget, Saikat Guha, Krishna P. Gummadi, Aniket Kate and Alan Mislove
    COSN 2015, Palo Alto, CA, October 2015.
    (Best paper award)
    [PDF]

  • Fairness Constraints: A Mechanism for Fair Classification
    Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez Rodriguez and Krishna P. Gummadi
    FATML 2015, Lille, France, July 2015.
    [PDF]

  • Sampling Content from Online Social Networks: Comparing Random vs. Expert Sampling of the Twitter Stream
    Muhammad Bilal Zafar, Parantapa Bhattacharya, Niloy Ganguly, Krishna P. Gummadi and Saptarshi Ghosh
    ACM TWEB, June 2015.
    [PDF]

  • Characterizing Information Diets of Social Media Users
    Juhi Kulshrestha, Muhammad Bilal Zafar, Lisette Espin Noboa, Krishna P. Gummadi and Saptarshi Ghosh
    ICWSM 2015, Oxford, UK, May 2015.
    [PDF]

  • Inferring User Interests in the Twitter Social Network
    Parantapa Bhattacharya, Muhammad Bilal Zafar, Niloy Ganguly, Saptarshi Ghosh and Krishna P. Gummadi
    RecSys 2014, Silicon Valley, CA, October 2014.
    [PDF]

  • Deep Twitter Diving: Exploring Topical Groups in Microblogs at Scale
    Parantapa Bhattacharya, Saptarshi Ghosh, Juhi Kulshrestha, Mainack Mondal, Muhammad Bilal Zafar, Niloy Ganguly and Krishna P. Gummadi
    CSCW 2014, Baltimore, MD, February 2014.
    [PDF]

  • On Sampling the Wisdom of Crowds: Random vs. Expert Sampling of the Twitter Stream
    Saptarshi Ghosh, Muhammad Bilal Zafar, Parantapa Bhattacharya, Naveen Sharma, Niloy Ganguly and Krishna P. Gummadi
    CIKM 2013, Burlingame, CA, October 2013.
    [PDF]

  • SplitBuff: Improving the Interaction of Heterogeneous RTT Flows on the Internet
    Shahida Jabeen, Muhammad Bilal Zafar, Ihsan Ayyub Qazi and Zartash Afzal Uzmi
    IEEE ICC 2013, Budapest, Hungary, June 2013.
    [PDF]