Foundations for Fair Social Computing

Dissecting Bitcoin and Ethereum Transactions: {O}n the Lack of Transaction Contention and Prioritization Transparency in Blockchains

Auteurs: Messias, Johnnatan; Pahari, Vabuk; Chandrasekaran, Balakrishnan; Gummadi, Krishna P.; Loiseau, Patrick
Publié dans: FC 2023 - Financial Cryptography and Data Security 2023, Numéro 36, 2023
Éditeur: FC
DOI: 10.48550/arxiv.2302.06962

Detecting and Mitigating Test-time Failure Risks via Model-agnostic Uncertainty Learning

Auteurs: Preethi Lahoti; Krishna P. Gummadi; Gerhard Weikum
Publié dans: 21st IEEE International Conference on Data Mining, Numéro 24, 2021
Éditeur: IEEE
DOI: 10.1109/icdm51629.2021.00141

Measuring Representational Robustness of Neural Networks Through Shared Invariances

Auteurs: Nanda, Vedant; Speicher, Till; Kolling, Camila; Dickerson, John P.; Gummadi, Krishna P.; Weller, Adrian
Publié dans: Forty-first International Conference on Machine Learning, Numéro 27, 2022
Éditeur: JMLR
DOI: 10.48550/arxiv.2206.11939

A Moral Framework for Understanding Fair ML through Economic Models of Equality of Opportunity

Auteurs: Hoda Heidari, Michele Loi, Krishna P. Gummadi, Andreas Krause
Publié dans: Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019, Page(s) 181-190, ISBN 9781450361255
Éditeur: ACM
DOI: 10.1145/3287560.3287584

Do Invariances in Deep Neural Networks Align with Human Perception?

Auteurs: Vedant Nanda; Ayan Majumdar; Camila Kolling; John P. Dickerson; Krishna P. Gummadi; Bradley C. Love; Adrian Weller
Publié dans: Proceedings of the 37th AAAI Conference on Artificial Intelligence, Numéro 41, 2023
Éditeur: AAAI
DOI: 10.1609/aaai.v37i8.26112

Auditing Black-Box Prediction Models for Data Minimization Compliance

Auteurs: Rastegarpanah, B.; Gummadi, K.; Crovella, M.
Publié dans: Advances in Neural Information Processing Systems 34, Numéro 15, 2021
Éditeur: NeurIPS

When the Umpire is also a Player - Bias in Private Label Product Recommendations on E-commerce Marketplaces

Auteurs: Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi
Publié dans: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, 2021, Page(s) 873-884, ISBN 9781450383097
Éditeur: ACM
DOI: 10.1145/3442188.3445944

Don’t Throw it Away! {T}he Utility of Unlabeled Data in Fair Decision Making

Auteurs: Miriam Rateike; Ayan Majumdar; Olga Mineeva; Krishna P. Gummadi; Isabel Valera
Publié dans: FAccT 2022, Numéro 14, 2022
Éditeur: ACM
DOI: 10.1145/3531146.3533199

Diffused Redundancy in Pre-trained Representations

Auteurs: Nanda, Vedant; Speicher, Till; Dickerson, John P.; Feizi, Soheil; Gummadi, Krishna P.; Weller, Adrian
Publié dans: NeurIPS 2023, Numéro 43, 2023
Éditeur: NeurIPS
DOI: 10.48550/arxiv.2306.00183

Accounting for Model Uncertainty in Algorithmic Discrimination

Auteurs: Junaid Ali; Preethi Lahoti; Krishna P. Gummadi
Publié dans: AIES, Numéro 24, 2021
Éditeur: AAAI
DOI: 10.1145/3461702.3462630

Fair Inputs and Fair Outputs: The Incompatibility of Fairness in Privacy and Accuracy

Auteurs: Bashir Rastegarpanah, Mark Crovella, Krishna P. Gummadi
Publié dans: Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 2020, Page(s) 260-267, ISBN 9781450379502
Éditeur: ACM
DOI: 10.1145/3386392.3399568

iFair: Learning Individually Fair Data Representations for Algorithmic Decision Making

Auteurs: Preethi Lahoti, Krishna P. Gummadi, Gerhard Weikum
Publié dans: 2019 IEEE 35th International Conference on Data Engineering (ICDE), 2019, Page(s) 1334-1345, ISBN 978-1-5386-7474-1
Éditeur: IEEE
DOI: 10.1109/icde.2019.00121

On Microtargeting Socially Divisive Ads - A Case Study of Russia-Linked Ad Campaigns on Facebook

Auteurs: Filipe N. Ribeiro, Koustuv Saha, Mahmoudreza Babaei, Lucas Henrique, Johnnatan Messias, Fabricio Benevenuto, Oana Goga, Krishna P. Gummadi, Elissa M. Redmiles
Publié dans: Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019, Page(s) 140-149, ISBN 9781450361255
Éditeur: ACM
DOI: 10.1145/3287560.3287580

Economic Theories of Distributive Justice for Fair Machine Learning

Auteurs: Krishna P. Gummadi, Hoda Heidari
Publié dans: Companion Proceedings of The 2019 World Wide Web Conference, 2019, Page(s) 1301-1302, ISBN 9781450366755
Éditeur: ACM
DOI: 10.1145/3308560.3320101

Beyond Reasonable Doubt

Auteurs: Bakker, Michiel A.; Tu, Duy Patrick; Gummadi, Krishna P.; Pentland, Alex Sandy; Varshney, Kush R.; Weller, Adrian
Publié dans: Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, Numéro 5, 2021
Éditeur: AAAI

Fighting Fire with Fire - Using Antidote Data to Improve Polarization and Fairness of Recommender Systems

Auteurs: Bashir Rastegarpanah, Krishna P. Gummadi, Mark Crovella
Publié dans: Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019, Page(s) 231-239, ISBN 9781450359405
Éditeur: ACM
DOI: 10.1145/3289600.3291002

Scheduling Virtual Conferences Fairly: Achieving Equitable Participant and Speaker Satisfaction

Auteurs: Gourab K. Patro; Prithwish Jana; Abhijnan Chakraborty; Krishna P. Gummadi; Niloy Ganguly
Publié dans: WWW '22, Numéro 24, 2022
Éditeur: IC3W2
DOI: 10.1145/3485447.3512136

Purple Feed - Identifying High Consensus News Posts on Social Media

Auteurs: Mahmoudreza Babaei, Juhi Kulshrestha, Abhijnan Chakraborty, Fabrício Benevenuto, Krishna P. Gummadi, Adrian Weller
Publié dans: Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 2018, Page(s) 10-16, ISBN 9781450360128
Éditeur: ACM
DOI: 10.1145/3278721.3278761

Fair Partitioning of Public Resources: Redrawing District Boundary to Minimize Spatial Inequality in School Funding

Auteurs: Nuno Mota, Negar Mohammadi, Palash Dey, Krishna P. Gummadi, Abhijnan Chakraborty
Publié dans: Proceedings of the Web Conference 2021, 2021, Page(s) 646-657, ISBN 9781450383127
Éditeur: ACM
DOI: 10.1145/3442381.3450041

Alexa, in you, I trust! Fairness and Interpretability Issues in E-commerce Search through Smart Speakers

Auteurs: Abhisek Dash; Abhijnan Chakraborty; Saptarshi Ghosh; Animesh Mukherjee; Krishna P. Gummadi
Publié dans: WWW '22, Numéro 2, 2022
Éditeur: IC3W2
DOI: 10.1145/3485447.3512265

A Unified Approach to Quantifying Algorithmic Unfairness - Measuring Individual &Group Unfairness via Inequality Indices

Auteurs: Till Speicher, Hoda Heidari, Nina Grgic-Hlaca, Krishna P. Gummadi, Adish Singla, Adrian Weller, Muhammad Bilal Zafar
Publié dans: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018, Page(s) 2239-2248, ISBN 9781-450355520
Éditeur: ACM
DOI: 10.1145/3219819.3220046

Analyzing Biases in Perception of Truth in News Stories and Their Implications for Fact Checking

Auteurs: Mahmoudreza Babaei, Abhijnan Chakraborty, Juhi Kulshrestha, Elissa M. Redmiles, Meeyoung Cha, Krishna P. Gummadi
Publié dans: Proceedings of the Conference on Fairness, Accountability, and Transparency - FAT* '19, 2019, Page(s) 139-139, ISBN 9781-450361255
Éditeur: ACM Press
DOI: 10.1145/3287560.3287581

Two-Sided Fairness for Repeated Matchings in Two-Sided Markets - A Case Study of a Ride-Hailing Platform

Auteurs: Tom Sühr, Asia J. Biega, Meike Zehlike, Krishna P. Gummadi, Abhijnan Chakraborty
Publié dans: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining - KDD '19, 2019, Page(s) 3082-3092, ISBN 9781-450362016
Éditeur: ACM Press
DOI: 10.1145/3292500.3330793

On the Impact of Choice Architectures on Inequality in Online Donation Platforms

Auteurs: Abhijnan Chakraborty, Nuno Mota, Asia J. Biega, Krishna P. Gummadi, Hoda Heidari
Publié dans: The World Wide Web Conference on - WWW '19, 2019, Page(s) 2623-2629, ISBN 9781-450366748
Éditeur: ACM Press
DOI: 10.1145/3308558.3313663

Loss-Aversively Fair Classification

Auteurs: Junaid Ali, Muhammad Bilal Zafar, Adish Singla, Krishna P. Gummadi
Publié dans: Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society - AIES '19, 2019, Page(s) 211-218, ISBN 9781-450363242
Éditeur: ACM Press
DOI: 10.1145/3306618.3314266

Equality of Voice - Towards Fair Representation in Crowdsourced Top-K Recommendations

Auteurs: Abhijnan Chakraborty, Gourab K. Patro, Niloy Ganguly, Krishna P. Gummadi, Patrick Loiseau
Publié dans: Proceedings of the Conference on Fairness, Accountability, and Transparency - FAT* '19, 2019, Page(s) 129-138, ISBN 9781-450361255
Éditeur: ACM Press
DOI: 10.1145/3287560.3287570

Incremental Fairness in Two-Sided Market Platforms: On Smoothly Updating Recommendations

Auteurs: Gourab K Patro, Abhijnan Chakraborty, Niloy Ganguly and Krishna P. Gummadi
Publié dans: Proceedings of 34th AAAI Conference on Artificial Intelligence (AAAI), Numéro February 2020, 2020
Éditeur: Association for the Advancement of Artificial Intelligence (AAAI)

The Price of Local Fairness in Multistage Selection

Auteurs: Vitalii Emelianov; George Arvanitakis; Nicolas Gast; Krishna P. Gummadi; Patrick Loiseau
Publié dans: IJCAI-2019 - Twenty-Eighth International Joint Conference on Artificial Intelligence, Numéro 20, 2019
Éditeur: IJCAI
DOI: 10.24963/ijcai.2019/809

On Fair Selection in the Presence of Implicit Variance

Auteurs: Vitalii Emelianov, Nicolas Gast, Krishna P. Gummadi, Patrick Loiseau
Publié dans: Proceedings of the 21st ACM Conference on Economics and Computation, 2020, Page(s) 649-675, ISBN 9781450379755
Éditeur: ACM
DOI: 10.1145/3391403.3399482

Minimizing Margin of Victory for Fair Political and Educational Districting

Auteurs: Ana-Andreea Stoica, Abhijnan Chakraborty, Palash Dey, Krishna P Gummadi
Publié dans: 2020
Éditeur: International Foundation for Autonomous Agents and Multiagent Systems

the case for chain neutrality

Auteurs: Johnnatan Messias; Mohamed Alzayat; Balakrishnan Chandrasekaran; Krishna P. Gummadi; Patrick Loiseau; Alan Mislove
Publié dans: "IMC 2021 - ACM Internet Measurement Conference, Nov 2021, Virtual Event, France. pp.1-16, ⟨10.1145/3487552.3487823⟩", Numéro 38, 2021
Éditeur: ACM
DOI: 10.1145/3487552.3487823

FairRec: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms

Auteurs: Gourab K Patro, Arpita Biswas, Niloy Ganguly, Krishna P. Gummadi, Abhijnan Chakraborty
Publié dans: Proceedings of The Web Conference 2020, 2020, Page(s) 1194-1204, ISBN 9781450370233
Éditeur: ACM
DOI: 10.1145/3366423.3380196

Treads - Transparency-Enhancing Ads

Auteurs: Giridhari Venkatadri, Alan Mislove, Krishna P. Gummadi
Publié dans: Proceedings of the 17th ACM Workshop on Hot Topics in Networks, 2018, Page(s) 169-175, ISBN 9781450361200
Éditeur: ACM
DOI: 10.1145/3286062.3286089

Beyond Reasonable Doubt - Improving Fairness in Budget-Constrained Decision Making using Confidence Thresholds

Auteurs: Michiel A. Bakker, Duy Patrick Tu, Krishna P. Gummadi, Alex Sandy Pentland, Kush R. Varshney, Adrian Weller
Publié dans: Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 2021, Page(s) 346-356, ISBN 9781450384735
Éditeur: ACM
DOI: 10.1145/3461702.3462575

Taking Advice from (Dis)Similar Machines: The Impact of Human-Machine Similarity on Machine-Assisted Decision-Making

Auteurs: Nina Grgić-Hlača; Claude Castelluccia; Krishna P. Gummadi
Publié dans: The 10th AAAI Conference on Human Computation and Crowdsourcing, Numéro 18, 2022
Éditeur: AAAI
DOI: 10.1609/hcomp.v10i1.21989

On the Long-term Impact of Algorithmic Decision Policies: Effort Unfairness and Feature Segregation through Social Learning

Auteurs: Hoda Heidari, Vedant Nanda, Krishna P. Gummadi
Publié dans: 2019
Éditeur: PMLR

Auditing Offline Data Brokers via Facebook's Advertising Platform

Auteurs: Giridhari Venkatadri, Piotr Sapiezynski, Elissa M. Redmiles, Alan Mislove, Oana Goga, Michelle Mazurek, Krishna P. Gummadi
Publié dans: The World Wide Web Conference on - WWW '19, 2019, Page(s) 1920-1930, ISBN 9781450366748
Éditeur: ACM Press
DOI: 10.1145/3308558.3313666

Lethe : Conceal Content Deletion from Persistent Observers

Auteurs: Mohsen Minaei, Mainack Mondal, Patrick Loiseau, Krishna Gummadi, Aniket Kate
Publié dans: Proceedings on Privacy Enhancing Technologies, Numéro 2019/1, 2018, Page(s) 206-226, ISSN 2299-0984
Éditeur: De Gruyter Open
DOI: 10.2478/popets-2019-0012

On the Desiderata for Online Altruism

Auteurs: Nuno Mota, Abhijnan Chakraborty, Asia J. Biega, Krishna P. Gummadi, Hoda Heidari
Publié dans: Proceedings of the ACM on Human-Computer Interaction, Numéro 4/CSCW2, 2020, Page(s) 1-21, ISSN 2573-0142
Éditeur: ACM
DOI: 10.1145/3415197

Operationalizing individual fairness with pairwise fair representations

Auteurs: Preethi Lahoti, Krishna P. Gummadi, Gerhard Weikum
Publié dans: Proceedings of the VLDB Endowment, Numéro 13/4, 2019, Page(s) 506-518, ISSN 2150-8097
Éditeur: VLDB Endowment Inc.
DOI: 10.14778/3372716.3372723

Editorial Versus Audience Gatekeeping: Analyzing News Selection and Consumption Dynamics in Online News Media

Auteurs: Abhijnan Chakraborty, Saptarshi Ghosh, Niloy Ganguly, Krishna P. Gummadi
Publié dans: IEEE Transactions on Computational Social Systems, Numéro 6/4, 2019, Page(s) 680-691, ISSN 2329-924X
Éditeur: IEEE Systems, Man, and Cybernetics Society
DOI: 10.1109/tcss.2019.2920000

Optimizing the recency-relevance-diversity trade-offs in non-personalized news recommendations

Auteurs: Abhijnan Chakraborty, Saptarshi Ghosh, Niloy Ganguly, Krishna P. Gummadi
Publié dans: Information Retrieval Journal, Numéro 22/5, 2019, Page(s) 447-475, ISSN 1386-4564
Éditeur: Kluwer Academic Publishers
DOI: 10.1007/s10791-019-09351-2

Human Decision Making with Machine Assistance

Auteurs: Nina Grgić-Hlača, Christoph Engel, Krishna P. Gummadi
Publié dans: Proceedings of the ACM on Human-Computer Interaction, Numéro 3/CSCW, 2019, Page(s) 1-25, ISSN 2573-0142
Éditeur: ACM
DOI: 10.1145/3359280

Toward Fair Recommendation in Two-sided Platforms

Auteurs: Arpita Biswas; Gourab K. Patro; Niloy Ganguly; Krishna P. Gummadi; Abhijnan Chakraborty
Publié dans: ACM Transactions on the Web, Numéro 24, 2021, ISSN 1559-114X
Éditeur: ACM
DOI: 10.1145/3503624

On the Fairness of Time-Critical Influence Maximization in Social Networks

Auteurs: Junaid Ali; Mahmoudreza Babaei; Abhijnan Chakraborty; Baharan Mirzasoleiman; Krishna P. Gummadi; Adish Singla
Publié dans: IEEE Transactions on Knowledge and Data Engineering, Numéro 18, 2021, ISSN 1558-2191
Éditeur: IEEE
DOI: 10.1109/tkde.2021.3120561

Search bias quantification: investigating political bias in social media and web search

Auteurs: Juhi Kulshrestha, Motahhare Eslami, Johnnatan Messias, Muhammad Bilal Zafar, Saptarshi Ghosh, Krishna P. Gummadi, Karrie Karahalios
Publié dans: Information Retrieval Journal, Numéro 22/1-2, 2019, Page(s) 188-227, ISSN 1386-4564
Éditeur: Kluwer Academic Publishers
DOI: 10.1007/s10791-018-9341-2

Analyzing Biases in Perception of Truth in News Stories and Their Implications for Fact Checking

Auteurs: Mahmoudreza Babaei, Juhi Kulshrestha, Abhijnan Chakraborty, Elissa M. Redmiles, Meeyoung Cha, Krishna P. Gummadi
Publié dans: IEEE Transactions on Computational Social Systems, 2021, Page(s) 1-12, ISSN 2329-924X
Éditeur: IEEE Systems, Man, and Cybernetics Society
DOI: 10.1109/tcss.2021.3096038

Responsible model deployment via model-agnostic uncertainty learning

Auteurs: Preethi Lahoti; Krishna Gummadi; Gerhard Weikum
Publié dans: Special Numéro on Safe and Fair Machine Learning, Numéro 25, 2022
Éditeur: Springer Link
DOI: 10.1007/s10994-022-06248-y

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