Foundations for Fair Social Computing

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

Autori: Messias, Johnnatan; Pahari, Vabuk; Chandrasekaran, Balakrishnan; Gummadi, Krishna P.; Loiseau, Patrick
Pubblicato in: FC 2023 - Financial Cryptography and Data Security 2023, Numero 36, 2023
Editore: FC
DOI: 10.48550/arxiv.2302.06962

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

Autori: Preethi Lahoti; Krishna P. Gummadi; Gerhard Weikum
Pubblicato in: 21st IEEE International Conference on Data Mining, Numero 24, 2021
Editore: IEEE
DOI: 10.1109/icdm51629.2021.00141

Measuring Representational Robustness of Neural Networks Through Shared Invariances

Autori: Nanda, Vedant; Speicher, Till; Kolling, Camila; Dickerson, John P.; Gummadi, Krishna P.; Weller, Adrian
Pubblicato in: Forty-first International Conference on Machine Learning, Numero 27, 2022
Editore: JMLR
DOI: 10.48550/arxiv.2206.11939

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

Autori: Hoda Heidari, Michele Loi, Krishna P. Gummadi, Andreas Krause
Pubblicato in: Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019, Pagina/e 181-190, ISBN 9781450361255
Editore: ACM
DOI: 10.1145/3287560.3287584

Do Invariances in Deep Neural Networks Align with Human Perception?

Autori: Vedant Nanda; Ayan Majumdar; Camila Kolling; John P. Dickerson; Krishna P. Gummadi; Bradley C. Love; Adrian Weller
Pubblicato in: Proceedings of the 37th AAAI Conference on Artificial Intelligence, Numero 41, 2023
Editore: AAAI
DOI: 10.1609/aaai.v37i8.26112

Auditing Black-Box Prediction Models for Data Minimization Compliance

Autori: Rastegarpanah, B.; Gummadi, K.; Crovella, M.
Pubblicato in: Advances in Neural Information Processing Systems 34, Numero 15, 2021
Editore: NeurIPS

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

Autori: Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi
Pubblicato in: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, 2021, Pagina/e 873-884, ISBN 9781450383097
Editore: ACM
DOI: 10.1145/3442188.3445944

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

Autori: Miriam Rateike; Ayan Majumdar; Olga Mineeva; Krishna P. Gummadi; Isabel Valera
Pubblicato in: FAccT 2022, Numero 14, 2022
Editore: ACM
DOI: 10.1145/3531146.3533199

Diffused Redundancy in Pre-trained Representations

Autori: Nanda, Vedant; Speicher, Till; Dickerson, John P.; Feizi, Soheil; Gummadi, Krishna P.; Weller, Adrian
Pubblicato in: NeurIPS 2023, Numero 43, 2023
Editore: NeurIPS
DOI: 10.48550/arxiv.2306.00183

Accounting for Model Uncertainty in Algorithmic Discrimination

Autori: Junaid Ali; Preethi Lahoti; Krishna P. Gummadi
Pubblicato in: AIES, Numero 24, 2021
Editore: AAAI
DOI: 10.1145/3461702.3462630

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

Autori: Bashir Rastegarpanah, Mark Crovella, Krishna P. Gummadi
Pubblicato in: Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 2020, Pagina/e 260-267, ISBN 9781450379502
Editore: ACM
DOI: 10.1145/3386392.3399568

iFair: Learning Individually Fair Data Representations for Algorithmic Decision Making

Autori: Preethi Lahoti, Krishna P. Gummadi, Gerhard Weikum
Pubblicato in: 2019 IEEE 35th International Conference on Data Engineering (ICDE), 2019, Pagina/e 1334-1345, ISBN 978-1-5386-7474-1
Editore: IEEE
DOI: 10.1109/icde.2019.00121

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

Autori: Filipe N. Ribeiro, Koustuv Saha, Mahmoudreza Babaei, Lucas Henrique, Johnnatan Messias, Fabricio Benevenuto, Oana Goga, Krishna P. Gummadi, Elissa M. Redmiles
Pubblicato in: Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019, Pagina/e 140-149, ISBN 9781450361255
Editore: ACM
DOI: 10.1145/3287560.3287580

Economic Theories of Distributive Justice for Fair Machine Learning

Autori: Krishna P. Gummadi, Hoda Heidari
Pubblicato in: Companion Proceedings of The 2019 World Wide Web Conference, 2019, Pagina/e 1301-1302, ISBN 9781450366755
Editore: ACM
DOI: 10.1145/3308560.3320101

Beyond Reasonable Doubt

Autori: Bakker, Michiel A.; Tu, Duy Patrick; Gummadi, Krishna P.; Pentland, Alex Sandy; Varshney, Kush R.; Weller, Adrian
Pubblicato in: Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, Numero 5, 2021
Editore: AAAI

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

Autori: Bashir Rastegarpanah, Krishna P. Gummadi, Mark Crovella
Pubblicato in: Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019, Pagina/e 231-239, ISBN 9781450359405
Editore: ACM
DOI: 10.1145/3289600.3291002

Scheduling Virtual Conferences Fairly: Achieving Equitable Participant and Speaker Satisfaction

Autori: Gourab K. Patro; Prithwish Jana; Abhijnan Chakraborty; Krishna P. Gummadi; Niloy Ganguly
Pubblicato in: WWW '22, Numero 24, 2022
Editore: IC3W2
DOI: 10.1145/3485447.3512136

Purple Feed - Identifying High Consensus News Posts on Social Media

Autori: Mahmoudreza Babaei, Juhi Kulshrestha, Abhijnan Chakraborty, Fabrício Benevenuto, Krishna P. Gummadi, Adrian Weller
Pubblicato in: Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 2018, Pagina/e 10-16, ISBN 9781450360128
Editore: ACM
DOI: 10.1145/3278721.3278761

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

Autori: Nuno Mota, Negar Mohammadi, Palash Dey, Krishna P. Gummadi, Abhijnan Chakraborty
Pubblicato in: Proceedings of the Web Conference 2021, 2021, Pagina/e 646-657, ISBN 9781450383127
Editore: ACM
DOI: 10.1145/3442381.3450041

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

Autori: Abhisek Dash; Abhijnan Chakraborty; Saptarshi Ghosh; Animesh Mukherjee; Krishna P. Gummadi
Pubblicato in: WWW '22, Numero 2, 2022
Editore: IC3W2
DOI: 10.1145/3485447.3512265

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

Autori: Till Speicher, Hoda Heidari, Nina Grgic-Hlaca, Krishna P. Gummadi, Adish Singla, Adrian Weller, Muhammad Bilal Zafar
Pubblicato in: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018, Pagina/e 2239-2248, ISBN 9781-450355520
Editore: ACM
DOI: 10.1145/3219819.3220046

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

Autori: Mahmoudreza Babaei, Abhijnan Chakraborty, Juhi Kulshrestha, Elissa M. Redmiles, Meeyoung Cha, Krishna P. Gummadi
Pubblicato in: Proceedings of the Conference on Fairness, Accountability, and Transparency - FAT* '19, 2019, Pagina/e 139-139, ISBN 9781-450361255
Editore: 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

Autori: Tom Sühr, Asia J. Biega, Meike Zehlike, Krishna P. Gummadi, Abhijnan Chakraborty
Pubblicato in: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining - KDD '19, 2019, Pagina/e 3082-3092, ISBN 9781-450362016
Editore: ACM Press
DOI: 10.1145/3292500.3330793

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

Autori: Abhijnan Chakraborty, Nuno Mota, Asia J. Biega, Krishna P. Gummadi, Hoda Heidari
Pubblicato in: The World Wide Web Conference on - WWW '19, 2019, Pagina/e 2623-2629, ISBN 9781-450366748
Editore: ACM Press
DOI: 10.1145/3308558.3313663

Loss-Aversively Fair Classification

Autori: Junaid Ali, Muhammad Bilal Zafar, Adish Singla, Krishna P. Gummadi
Pubblicato in: Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society - AIES '19, 2019, Pagina/e 211-218, ISBN 9781-450363242
Editore: ACM Press
DOI: 10.1145/3306618.3314266

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

Autori: Abhijnan Chakraborty, Gourab K. Patro, Niloy Ganguly, Krishna P. Gummadi, Patrick Loiseau
Pubblicato in: Proceedings of the Conference on Fairness, Accountability, and Transparency - FAT* '19, 2019, Pagina/e 129-138, ISBN 9781-450361255
Editore: ACM Press
DOI: 10.1145/3287560.3287570

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

Autori: Gourab K Patro, Abhijnan Chakraborty, Niloy Ganguly and Krishna P. Gummadi
Pubblicato in: Proceedings of 34th AAAI Conference on Artificial Intelligence (AAAI), Numero February 2020, 2020
Editore: Association for the Advancement of Artificial Intelligence (AAAI)

The Price of Local Fairness in Multistage Selection

Autori: Vitalii Emelianov; George Arvanitakis; Nicolas Gast; Krishna P. Gummadi; Patrick Loiseau
Pubblicato in: IJCAI-2019 - Twenty-Eighth International Joint Conference on Artificial Intelligence, Numero 20, 2019
Editore: IJCAI
DOI: 10.24963/ijcai.2019/809

On Fair Selection in the Presence of Implicit Variance

Autori: Vitalii Emelianov, Nicolas Gast, Krishna P. Gummadi, Patrick Loiseau
Pubblicato in: Proceedings of the 21st ACM Conference on Economics and Computation, 2020, Pagina/e 649-675, ISBN 9781450379755
Editore: ACM
DOI: 10.1145/3391403.3399482

Minimizing Margin of Victory for Fair Political and Educational Districting

Autori: Ana-Andreea Stoica, Abhijnan Chakraborty, Palash Dey, Krishna P Gummadi
Pubblicato in: 2020
Editore: International Foundation for Autonomous Agents and Multiagent Systems

the case for chain neutrality

Autori: Johnnatan Messias; Mohamed Alzayat; Balakrishnan Chandrasekaran; Krishna P. Gummadi; Patrick Loiseau; Alan Mislove
Pubblicato in: "IMC 2021 - ACM Internet Measurement Conference, Nov 2021, Virtual Event, France. pp.1-16, ⟨10.1145/3487552.3487823⟩", Numero 38, 2021
Editore: ACM
DOI: 10.1145/3487552.3487823

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

Autori: Gourab K Patro, Arpita Biswas, Niloy Ganguly, Krishna P. Gummadi, Abhijnan Chakraborty
Pubblicato in: Proceedings of The Web Conference 2020, 2020, Pagina/e 1194-1204, ISBN 9781450370233
Editore: ACM
DOI: 10.1145/3366423.3380196

Treads - Transparency-Enhancing Ads

Autori: Giridhari Venkatadri, Alan Mislove, Krishna P. Gummadi
Pubblicato in: Proceedings of the 17th ACM Workshop on Hot Topics in Networks, 2018, Pagina/e 169-175, ISBN 9781450361200
Editore: ACM
DOI: 10.1145/3286062.3286089

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

Autori: Michiel A. Bakker, Duy Patrick Tu, Krishna P. Gummadi, Alex Sandy Pentland, Kush R. Varshney, Adrian Weller
Pubblicato in: Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 2021, Pagina/e 346-356, ISBN 9781450384735
Editore: ACM
DOI: 10.1145/3461702.3462575

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

Autori: Nina Grgić-Hlača; Claude Castelluccia; Krishna P. Gummadi
Pubblicato in: The 10th AAAI Conference on Human Computation and Crowdsourcing, Numero 18, 2022
Editore: AAAI
DOI: 10.1609/hcomp.v10i1.21989

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

Autori: Hoda Heidari, Vedant Nanda, Krishna P. Gummadi
Pubblicato in: 2019
Editore: PMLR

Auditing Offline Data Brokers via Facebook's Advertising Platform

Autori: Giridhari Venkatadri, Piotr Sapiezynski, Elissa M. Redmiles, Alan Mislove, Oana Goga, Michelle Mazurek, Krishna P. Gummadi
Pubblicato in: The World Wide Web Conference on - WWW '19, 2019, Pagina/e 1920-1930, ISBN 9781450366748
Editore: ACM Press
DOI: 10.1145/3308558.3313666

Lethe : Conceal Content Deletion from Persistent Observers

Autori: Mohsen Minaei, Mainack Mondal, Patrick Loiseau, Krishna Gummadi, Aniket Kate
Pubblicato in: Proceedings on Privacy Enhancing Technologies, Numero 2019/1, 2018, Pagina/e 206-226, ISSN 2299-0984
Editore: De Gruyter Open
DOI: 10.2478/popets-2019-0012

On the Desiderata for Online Altruism

Autori: Nuno Mota, Abhijnan Chakraborty, Asia J. Biega, Krishna P. Gummadi, Hoda Heidari
Pubblicato in: Proceedings of the ACM on Human-Computer Interaction, Numero 4/CSCW2, 2020, Pagina/e 1-21, ISSN 2573-0142
Editore: ACM
DOI: 10.1145/3415197

Operationalizing individual fairness with pairwise fair representations

Autori: Preethi Lahoti, Krishna P. Gummadi, Gerhard Weikum
Pubblicato in: Proceedings of the VLDB Endowment, Numero 13/4, 2019, Pagina/e 506-518, ISSN 2150-8097
Editore: VLDB Endowment Inc.
DOI: 10.14778/3372716.3372723

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

Autori: Abhijnan Chakraborty, Saptarshi Ghosh, Niloy Ganguly, Krishna P. Gummadi
Pubblicato in: IEEE Transactions on Computational Social Systems, Numero 6/4, 2019, Pagina/e 680-691, ISSN 2329-924X
Editore: IEEE Systems, Man, and Cybernetics Society
DOI: 10.1109/tcss.2019.2920000

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

Autori: Abhijnan Chakraborty, Saptarshi Ghosh, Niloy Ganguly, Krishna P. Gummadi
Pubblicato in: Information Retrieval Journal, Numero 22/5, 2019, Pagina/e 447-475, ISSN 1386-4564
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10791-019-09351-2

Human Decision Making with Machine Assistance

Autori: Nina Grgić-Hlača, Christoph Engel, Krishna P. Gummadi
Pubblicato in: Proceedings of the ACM on Human-Computer Interaction, Numero 3/CSCW, 2019, Pagina/e 1-25, ISSN 2573-0142
Editore: ACM
DOI: 10.1145/3359280

Toward Fair Recommendation in Two-sided Platforms

Autori: Arpita Biswas; Gourab K. Patro; Niloy Ganguly; Krishna P. Gummadi; Abhijnan Chakraborty
Pubblicato in: ACM Transactions on the Web, Numero 24, 2021, ISSN 1559-114X
Editore: ACM
DOI: 10.1145/3503624

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

Autori: Junaid Ali; Mahmoudreza Babaei; Abhijnan Chakraborty; Baharan Mirzasoleiman; Krishna P. Gummadi; Adish Singla
Pubblicato in: IEEE Transactions on Knowledge and Data Engineering, Numero 18, 2021, ISSN 1558-2191
Editore: IEEE
DOI: 10.1109/tkde.2021.3120561

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

Autori: Juhi Kulshrestha, Motahhare Eslami, Johnnatan Messias, Muhammad Bilal Zafar, Saptarshi Ghosh, Krishna P. Gummadi, Karrie Karahalios
Pubblicato in: Information Retrieval Journal, Numero 22/1-2, 2019, Pagina/e 188-227, ISSN 1386-4564
Editore: 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

Autori: Mahmoudreza Babaei, Juhi Kulshrestha, Abhijnan Chakraborty, Elissa M. Redmiles, Meeyoung Cha, Krishna P. Gummadi
Pubblicato in: IEEE Transactions on Computational Social Systems, 2021, Pagina/e 1-12, ISSN 2329-924X
Editore: IEEE Systems, Man, and Cybernetics Society
DOI: 10.1109/tcss.2021.3096038

Responsible model deployment via model-agnostic uncertainty learning

Autori: Preethi Lahoti; Krishna Gummadi; Gerhard Weikum
Pubblicato in: Special Numero on Safe and Fair Machine Learning, Numero 25, 2022
Editore: Springer Link
DOI: 10.1007/s10994-022-06248-y

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