Skip to main content
Go to the home page of the European Commission (opens in new window)
English English
CORDIS - EU research results
CORDIS

Foundations for Fair Social Computing

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Dissecting Bitcoin and Ethereum Transactions: {O}n the Lack of Transaction Contention and Prioritization Transparency in Blockchains (opens in new window)

Author(s): Messias, Johnnatan; Pahari, Vabuk; Chandrasekaran, Balakrishnan; Gummadi, Krishna P.; Loiseau, Patrick
Published in: FC 2023 - Financial Cryptography and Data Security 2023, Issue 36, 2023
Publisher: FC
DOI: 10.48550/arxiv.2302.06962

Detecting and Mitigating Test-time Failure Risks via Model-agnostic Uncertainty Learning (opens in new window)

Author(s): Preethi Lahoti; Krishna P. Gummadi; Gerhard Weikum
Published in: 21st IEEE International Conference on Data Mining, Issue 24, 2021
Publisher: IEEE
DOI: 10.1109/icdm51629.2021.00141

Measuring Representational Robustness of Neural Networks Through Shared Invariances (opens in new window)

Author(s): Nanda, Vedant; Speicher, Till; Kolling, Camila; Dickerson, John P.; Gummadi, Krishna P.; Weller, Adrian
Published in: Forty-first International Conference on Machine Learning, Issue 27, 2022
Publisher: JMLR
DOI: 10.48550/arxiv.2206.11939

A Moral Framework for Understanding Fair ML through Economic Models of Equality of Opportunity (opens in new window)

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

Do Invariances in Deep Neural Networks Align with Human Perception? (opens in new window)

Author(s): Vedant Nanda; Ayan Majumdar; Camila Kolling; John P. Dickerson; Krishna P. Gummadi; Bradley C. Love; Adrian Weller
Published in: Proceedings of the 37th AAAI Conference on Artificial Intelligence, Issue 41, 2023
Publisher: AAAI
DOI: 10.1609/aaai.v37i8.26112

Auditing Black-Box Prediction Models for Data Minimization Compliance

Author(s): Rastegarpanah, B.; Gummadi, K.; Crovella, M.
Published in: Advances in Neural Information Processing Systems 34, Issue 15, 2021
Publisher: NeurIPS

When the Umpire is also a Player - Bias in Private Label Product Recommendations on E-commerce Marketplaces (opens in new window)

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

Don’t Throw it Away! {T}he Utility of Unlabeled Data in Fair Decision Making (opens in new window)

Author(s): Miriam Rateike; Ayan Majumdar; Olga Mineeva; Krishna P. Gummadi; Isabel Valera
Published in: FAccT 2022, Issue 14, 2022
Publisher: ACM
DOI: 10.1145/3531146.3533199

Diffused Redundancy in Pre-trained Representations (opens in new window)

Author(s): Nanda, Vedant; Speicher, Till; Dickerson, John P.; Feizi, Soheil; Gummadi, Krishna P.; Weller, Adrian
Published in: NeurIPS 2023, Issue 43, 2023
Publisher: NeurIPS
DOI: 10.48550/arxiv.2306.00183

Accounting for Model Uncertainty in Algorithmic Discrimination (opens in new window)

Author(s): Junaid Ali; Preethi Lahoti; Krishna P. Gummadi
Published in: AIES, Issue 24, 2021
Publisher: AAAI
DOI: 10.1145/3461702.3462630

Fair Inputs and Fair Outputs: The Incompatibility of Fairness in Privacy and Accuracy (opens in new window)

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

iFair: Learning Individually Fair Data Representations for Algorithmic Decision Making (opens in new window)

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

On Microtargeting Socially Divisive Ads - A Case Study of Russia-Linked Ad Campaigns on Facebook (opens in new window)

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

Economic Theories of Distributive Justice for Fair Machine Learning (opens in new window)

Author(s): Krishna P. Gummadi, Hoda Heidari
Published in: Companion Proceedings of The 2019 World Wide Web Conference, 2019, Page(s) 1301-1302, ISBN 9781450366755
Publisher: ACM
DOI: 10.1145/3308560.3320101

Beyond Reasonable Doubt

Author(s): Bakker, Michiel A.; Tu, Duy Patrick; Gummadi, Krishna P.; Pentland, Alex Sandy; Varshney, Kush R.; Weller, Adrian
Published in: Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, Issue 5, 2021
Publisher: AAAI

Fighting Fire with Fire - Using Antidote Data to Improve Polarization and Fairness of Recommender Systems (opens in new window)

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

Scheduling Virtual Conferences Fairly: Achieving Equitable Participant and Speaker Satisfaction (opens in new window)

Author(s): Gourab K. Patro; Prithwish Jana; Abhijnan Chakraborty; Krishna P. Gummadi; Niloy Ganguly
Published in: WWW '22, Issue 24, 2022
Publisher: IC3W2
DOI: 10.1145/3485447.3512136

Purple Feed - Identifying High Consensus News Posts on Social Media (opens in new window)

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

Fair Partitioning of Public Resources: Redrawing District Boundary to Minimize Spatial Inequality in School Funding (opens in new window)

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

Alexa, in you, I trust! Fairness and Interpretability Issues in E-commerce Search through Smart Speakers (opens in new window)

Author(s): Abhisek Dash; Abhijnan Chakraborty; Saptarshi Ghosh; Animesh Mukherjee; Krishna P. Gummadi
Published in: WWW '22, Issue 2, 2022
Publisher: IC3W2
DOI: 10.1145/3485447.3512265

A Unified Approach to Quantifying Algorithmic Unfairness - Measuring Individual &Group Unfairness via Inequality Indices (opens in new window)

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

Analyzing Biases in Perception of Truth in News Stories and Their Implications for Fact Checking (opens in new window)

Author(s): Mahmoudreza Babaei, Abhijnan Chakraborty, Juhi Kulshrestha, Elissa M. Redmiles, Meeyoung Cha, Krishna P. Gummadi
Published in: Proceedings of the Conference on Fairness, Accountability, and Transparency - FAT* '19, 2019, Page(s) 139-139, ISBN 9781-450361255
Publisher: 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 (opens in new window)

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

On the Impact of Choice Architectures on Inequality in Online Donation Platforms (opens in new window)

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

Loss-Aversively Fair Classification (opens in new window)

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

Equality of Voice - Towards Fair Representation in Crowdsourced Top-K Recommendations (opens in new window)

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

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

Author(s): Gourab K Patro, Abhijnan Chakraborty, Niloy Ganguly and Krishna P. Gummadi
Published in: Proceedings of 34th AAAI Conference on Artificial Intelligence (AAAI), Issue February 2020, 2020
Publisher: Association for the Advancement of Artificial Intelligence (AAAI)

The Price of Local Fairness in Multistage Selection (opens in new window)

Author(s): Vitalii Emelianov; George Arvanitakis; Nicolas Gast; Krishna P. Gummadi; Patrick Loiseau
Published in: IJCAI-2019 - Twenty-Eighth International Joint Conference on Artificial Intelligence, Issue 20, 2019
Publisher: IJCAI
DOI: 10.24963/ijcai.2019/809

On Fair Selection in the Presence of Implicit Variance (opens in new window)

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

Minimizing Margin of Victory for Fair Political and Educational Districting

Author(s): Ana-Andreea Stoica, Abhijnan Chakraborty, Palash Dey, Krishna P Gummadi
Published in: 2020
Publisher: International Foundation for Autonomous Agents and Multiagent Systems

the case for chain neutrality (opens in new window)

Author(s): Johnnatan Messias; Mohamed Alzayat; Balakrishnan Chandrasekaran; Krishna P. Gummadi; Patrick Loiseau; Alan Mislove
Published in: "IMC 2021 - ACM Internet Measurement Conference, Nov 2021, Virtual Event, France. pp.1-16, ⟨10.1145/3487552.3487823⟩", Issue 38, 2021
Publisher: ACM
DOI: 10.1145/3487552.3487823

FairRec: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms (opens in new window)

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

Treads - Transparency-Enhancing Ads (opens in new window)

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

Beyond Reasonable Doubt - Improving Fairness in Budget-Constrained Decision Making using Confidence Thresholds (opens in new window)

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

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

Author(s): Nina Grgić-Hlača; Claude Castelluccia; Krishna P. Gummadi
Published in: The 10th AAAI Conference on Human Computation and Crowdsourcing, Issue 18, 2022
Publisher: AAAI
DOI: 10.1609/hcomp.v10i1.21989

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

Author(s): Hoda Heidari, Vedant Nanda, Krishna P. Gummadi
Published in: 2019
Publisher: PMLR

Auditing Offline Data Brokers via Facebook's Advertising Platform (opens in new window)

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

Lethe : Conceal Content Deletion from Persistent Observers (opens in new window)

Author(s): Mohsen Minaei, Mainack Mondal, Patrick Loiseau, Krishna Gummadi, Aniket Kate
Published in: Proceedings on Privacy Enhancing Technologies, Issue 2019/1, 2018, Page(s) 206-226, ISSN 2299-0984
Publisher: De Gruyter Open
DOI: 10.2478/popets-2019-0012

On the Desiderata for Online Altruism (opens in new window)

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

Operationalizing individual fairness with pairwise fair representations (opens in new window)

Author(s): Preethi Lahoti, Krishna P. Gummadi, Gerhard Weikum
Published in: Proceedings of the VLDB Endowment, Issue 13/4, 2019, Page(s) 506-518, ISSN 2150-8097
Publisher: VLDB Endowment Inc.
DOI: 10.14778/3372716.3372723

Editorial Versus Audience Gatekeeping: Analyzing News Selection and Consumption Dynamics in Online News Media (opens in new window)

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

Optimizing the recency-relevance-diversity trade-offs in non-personalized news recommendations (opens in new window)

Author(s): Abhijnan Chakraborty, Saptarshi Ghosh, Niloy Ganguly, Krishna P. Gummadi
Published in: Information Retrieval Journal, Issue 22/5, 2019, Page(s) 447-475, ISSN 1386-4564
Publisher: Kluwer Academic Publishers
DOI: 10.1007/s10791-019-09351-2

Human Decision Making with Machine Assistance (opens in new window)

Author(s): Nina Grgić-Hlača, Christoph Engel, Krishna P. Gummadi
Published in: Proceedings of the ACM on Human-Computer Interaction, Issue 3/CSCW, 2019, Page(s) 1-25, ISSN 2573-0142
Publisher: ACM
DOI: 10.1145/3359280

Toward Fair Recommendation in Two-sided Platforms (opens in new window)

Author(s): Arpita Biswas; Gourab K. Patro; Niloy Ganguly; Krishna P. Gummadi; Abhijnan Chakraborty
Published in: ACM Transactions on the Web, Issue 24, 2021, ISSN 1559-114X
Publisher: ACM
DOI: 10.1145/3503624

On the Fairness of Time-Critical Influence Maximization in Social Networks (opens in new window)

Author(s): Junaid Ali; Mahmoudreza Babaei; Abhijnan Chakraborty; Baharan Mirzasoleiman; Krishna P. Gummadi; Adish Singla
Published in: IEEE Transactions on Knowledge and Data Engineering, Issue 18, 2021, ISSN 1558-2191
Publisher: IEEE
DOI: 10.1109/tkde.2021.3120561

Fairness constraints: A flexible approach for fair classification

Author(s): Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P Gummadi
Published in: The Journal of Machine Learning Research, 2019, ISSN 1532-4435
Publisher: MIT Press

Search bias quantification: investigating political bias in social media and web search (opens in new window)

Author(s): Juhi Kulshrestha, Motahhare Eslami, Johnnatan Messias, Muhammad Bilal Zafar, Saptarshi Ghosh, Krishna P. Gummadi, Karrie Karahalios
Published in: Information Retrieval Journal, Issue 22/1-2, 2019, Page(s) 188-227, ISSN 1386-4564
Publisher: 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 (opens in new window)

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

Responsible model deployment via model-agnostic uncertainty learning (opens in new window)

Author(s): Preethi Lahoti; Krishna Gummadi; Gerhard Weikum
Published in: Special Issue on Safe and Fair Machine Learning, Issue 25, 2022
Publisher: Springer Link
DOI: 10.1007/s10994-022-06248-y

Searching for OpenAIRE data...

There was an error trying to search data from OpenAIRE

No results available

My booklet 0 0