Krishna P. Gummadi

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 158

Top Venues

Publications

Nina Grgic-Hlaca, Junaid Ali, Krishna P. Gummadi, Jennifer Wortman Vaughan
(De)Noise: Moderating the Inconsistency Between Human Decision-Makers. CoRR (2024)
Abhisek Dash, Saptarshi Ghosh, Animesh Mukherjee, Abhijnan Chakraborty, Krishna P. Gummadi
Sponsored is the New Organic: Implications of Sponsored Results on Quality of Search Results in the Amazon Marketplace. CoRR (2024)
Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi
Investigating Nudges toward Related Sellers on E-commerce Marketplaces: A Case Study on Amazon. CoRR (2024)
Till Speicher, Mohammad Aflah Khan, Qinyuan Wu, Vedant Nanda, Soumi Das, Bishwamittra Ghosh, Krishna P. Gummadi, Evimaria Terzi
Understanding Memorisation in LLMs: Dynamics, Influencing Factors, and Implications. CoRR (2024)
Cai Yang, Sepehr Mousavi, Abhisek Dash, Krishna P. Gummadi, Ingmar Weber
Coupling GDPR Data Donation and Crowdsourced User Survey: A Case Study on TikTok Addiction. WebSci (Companion) (2024)
Sepehr Mousavi, Krishna P. Gummadi, Savvas Zannettou
Auditing Algorithmic Explanations of Social Media Feeds: A Case Study of TikTok Video Explanations. ICWSM (2024)
Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Jens Frankenreiter, Stefan Bechtold, Krishna P. Gummadi
Antitrust, Amazon, and Algorithmic Auditing. CoRR (2024)
Karan Vombatkere, Sepehr Mousavi, Savvas Zannettou, Franziska Roesner, Krishna P. Gummadi
TikTok and the Art of Personalization: Investigating Exploration and Exploitation on Social Media Feeds. WWW (2024)
Savvas Zannettou, Olivia Nemes Nemeth, Oshrat Ayalon, Angelica Goetzen, Krishna P. Gummadi, Elissa M. Redmiles, Franziska Roesner
Analyzing User Engagement with TikTok's Short Format Video Recommendations using Data Donations. CHI (2024)
Till Speicher, Vedant Nanda, Krishna P. Gummadi
Understanding the Role of Invariance in Transfer Learning. CoRR (2024)
Qinyuan Wu, Mohammad Aflah Khan, Soumi Das, Vedant Nanda, Bishwamittra Ghosh, Camila Kolling, Till Speicher, Laurent Bindschaedler, Krishna P. Gummadi, Evimaria Terzi
Towards Reliable Latent Knowledge Estimation in LLMs: In-Context Learning vs. Prompting Based Factual Knowledge Extraction. CoRR (2024)
Ricardo Dominguez-Olmedo, Vedant Nanda, Rediet Abebe, Stefan Bechtold, Christoph Engel, Jens Frankenreiter, Krishna P. Gummadi, Moritz Hardt, Michael Livermore
Lawma: The Power of Specialization for Legal Tasks. CoRR (2024)
Karan Vombatkere, Sepehr Mousavi, Savvas Zannettou, Franziska Roesner, Krishna P. Gummadi
TikTok and the Art of Personalization: Investigating Exploration and Exploitation on Social Media Feeds. CoRR (2024)
Till Speicher, Vedant Nanda, Krishna P. Gummadi
Understanding the Role of Invariance in Transfer Learning. Trans. Mach. Learn. Res. 2024 (2024)
Camila Kolling, Till Speicher, Vedant Nanda, Mariya Toneva, Krishna P. Gummadi
Pointwise Representational Similarity. CoRR (2023)
Vedant Nanda, Ayan Majumdar, Camila Kolling, John P. Dickerson, Krishna P. Gummadi, Bradley C. Love, Adrian Weller
Do Invariances in Deep Neural Networks Align with Human Perception? AAAI (2023)
Johnnatan Messias, Vabuk Pahari, Balakrishnan Chandrasekaran, Krishna P. Gummadi, Patrick Loiseau
Dissecting Bitcoin and Ethereum Transactions: On the Lack of Transaction Contention and Prioritization Transparency in Blockchains. CoRR (2023)
Johnnatan Messias, Vabuk Pahari, Balakrishnan Chandrasekaran, Krishna P. Gummadi, Patrick Loiseau
Understanding Blockchain Governance: Analyzing Decentralized Voting to Amend DeFi Smart Contracts. CoRR (2023)
Johnnatan Messias, Vabuk Pahari, Balakrishnan Chandrasekaran, Krishna P. Gummadi, Patrick Loiseau
Dissecting Bitcoin and Ethereum Transactions: On the Lack of Transaction Contention and Prioritization Transparency in Blockchains. FC (2023)
Junaid Ali, Mahmoudreza Babaei, Abhijnan Chakraborty, Baharan Mirzasoleiman, Krishna P. Gummadi, Adish Singla
On the Fairness of Time-Critical Influence Maximization in Social Networks. IEEE Trans. Knowl. Data Eng. 35 (3) (2023)
Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi
FaiRIR: Mitigating Exposure Bias From Related Item Recommendations in Two-Sided Platforms. IEEE Trans. Comput. Soc. Syst. 10 (3) (2023)
Savvas Zannettou, Olivia-Nemes Nemeth, Oshrat Ayalon, Angelica Goetzen, Krishna P. Gummadi, Elissa M. Redmiles, Franziska Roesner
Leveraging Rights of Data Subjects for Social Media Analysis: Studying TikTok via Data Donations. CoRR (2023)
Vedant Nanda, Till Speicher, John P. Dickerson, Soheil Feizi, Krishna P. Gummadi, Adrian Weller
Diffused Redundancy in Pre-trained Representations. CoRR (2023)
Chen Ling, Krishna P. Gummadi, Savvas Zannettou
"Learn the Facts about COVID-19": Analyzing the Use of Warning Labels on TikTok Videos. ICWSM (2023)
Vedant Nanda, Till Speicher, John P. Dickerson, Krishna P. Gummadi, Soheil Feizi, Adrian Weller
Diffused Redundancy in Pre-trained Representations. NeurIPS (2023)
Chen Ling, Krishna P. Gummadi, Savvas Zannettou
"Learn the Facts About COVID-19": Analyzing the Use of Warning Labels on TikTok Videos. CoRR (2022)
Vedant Nanda, Till Speicher, Camila Kolling, John P. Dickerson, Krishna P. Gummadi, Adrian Weller
Measuring Representational Robustness of Neural Networks Through Shared Invariances. CoRR (2022)
Mahmoudreza Babaei, Juhi Kulshrestha, Abhijnan Chakraborty, Elissa M. Redmiles, Meeyoung Cha, Krishna P. Gummadi
Analyzing Biases in Perception of Truth in News Stories and Their Implications for Fact Checking. IEEE Trans. Comput. Soc. Syst. 9 (3) (2022)
Gourab K. Patro, Prithwish Jana, Abhijnan Chakraborty, Krishna P. Gummadi, Niloy Ganguly
Scheduling Virtual Conferences Fairly: Achieving Equitable Participant and Speaker Satisfaction. CoRR (2022)
Junaid Ali, Mahmoudreza Babaei, Abhijnan Chakraborty, Baharan Mirzasoleiman, Krishna P. Gummadi, Adish Singla
On the Fairness of Time-Critical Influence Maximization in Social Networks (Extended Abstract). ICDE (2022)
Vedant Nanda, Till Speicher, Camila Kolling, John P. Dickerson, Krishna P. Gummadi, Adrian Weller
Measuring Representational Robustness of Neural Networks Through Shared Invariances. ICML (2022)
Miriam Rateike, Ayan Majumdar, Olga Mineeva, Krishna P. Gummadi, Isabel Valera
Don't Throw it Away! The Utility of Unlabeled Data in Fair Decision Making. FAccT (2022)
Miriam Rateike, Ayan Majumdar, Olga Mineeva, Krishna P. Gummadi, Isabel Valera
Don't Throw it Away! The Utility of Unlabeled Data in Fair Decision Making. CoRR (2022)
Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi
Alexa, in you, I trust! Fairness and Interpretability Issues in E-commerce Search through Smart Speakers. WWW (2022)
Arpita Biswas, Gourab K. Patro, Niloy Ganguly, Krishna P. Gummadi, Abhijnan Chakraborty
Toward Fair Recommendation in Two-sided Platforms. ACM Trans. Web 16 (2) (2022)
Nina Grgic-Hlaca, Claude Castelluccia, Krishna P. Gummadi
Taking Advice from (Dis)Similar Machines: The Impact of Human-Machine Similarity on Machine-Assisted Decision-Making. HCOMP (2022)
Nina Grgic-Hlaca, Claude Castelluccia, Krishna P. Gummadi
Taking Advice from (Dis)Similar Machines: The Impact of Human-Machine Similarity on Machine-Assisted Decision-Making. CoRR (2022)
Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi
FaiRIR: Mitigating Exposure Bias from Related Item Recommendations in Two-Sided Platforms. CoRR (2022)
Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi
Alexa, in you, I trust! Fairness and Interpretability Issues in E-commerce Search through Smart Speakers. CoRR (2022)
Vitalii Emelianov, Nicolas Gast, Krishna P. Gummadi, Patrick Loiseau
On fair selection in the presence of implicit and differential variance. Artif. Intell. 302 (2022)
Arpita Biswas, Gourab K. Patro, Niloy Ganguly, Krishna P. Gummadi, Abhijnan Chakraborty
Towards Fair Recommendation in Two-Sided Platforms. CoRR (2022)
Gourab K. Patro, Prithwish Jana, Abhijnan Chakraborty, Krishna P. Gummadi, Niloy Ganguly
Scheduling Virtual Conferences Fairly: Achieving Equitable Participant and Speaker Satisfaction. WWW (2022)
Ahmad Khajehnejad, Moein Khajehnejad, Mahmoudreza Babaei, Krishna P. Gummadi, Adrian Weller, Baharan Mirzasoleiman
CrossWalk: Fairness-Enhanced Node Representation Learning. AAAI (2022)
Ahmad Khajehnejad, Moein Khajehnejad, Mahmoudreza Babaei, Krishna P. Gummadi, Adrian Weller, Baharan Mirzasoleiman
CrossWalk: Fairness-enhanced Node Representation Learning. CoRR (2021)
Vedant Nanda, Ayan Majumdar, Camila Kolling, John P. Dickerson, Krishna P. Gummadi, Bradley C. Love, Adrian Weller
Exploring Alignment of Representations with Human Perception. CoRR (2021)
Preethi Lahoti, Krishna P. Gummadi, Gerhard Weikum
Detecting and Mitigating Test-time Failure Risks via Model-agnostic Uncertainty Learning. CoRR (2021)
Bashir Rastegarpanah, Krishna P. Gummadi, Mark Crovella
Auditing Black-Box Prediction Models for Data Minimization Compliance. NeurIPS (2021)
Mohamed Alzayat, Johnnatan Messias, Balakrishnan Chandrasekaran, Krishna P. Gummadi, Patrick Loiseau
Modeling Coordinated vs. P2P Mining: An Analysis of Inefficiency and Inequality in Proof-of-Work Blockchains. CoRR (2021)
Preethi Lahoti, Krishna P. Gummadi, Gerhard Weikum
Detecting and Mitigating Test-time Failure Risks via Model-agnostic Uncertainty Learning. ICDM (2021)
Michiel A. Bakker, Duy Patrick Tu, Krishna P. Gummadi, Alex 'Sandy' Pentland, Kush R. Varshney, Adrian Weller
Beyond Reasonable Doubt: Improving Fairness in Budget-Constrained Decision Making using Confidence Thresholds. AIES (2021)
Vitalii Emelianov, Nicolas Gast, Krishna P. Gummadi, Patrick Loiseau
On Fair Selection in the Presence of Implicit and Differential Variance. CoRR (2021)
Nuno Mota, Negar Mohammadi, Palash Dey, Krishna P. Gummadi, Abhijnan Chakraborty
Fair Partitioning of Public Resources: Redrawing District Boundary to Minimize Spatial Inequality in School Funding. WWW (2021)
Junaid Ali, Preethi Lahoti, Krishna P. Gummadi
Accounting for Model Uncertainty in Algorithmic Discrimination. AIES (2021)
Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi
When the Umpire is also a Player: Bias in Private Label Product Recommendations on E-commerce Marketplaces. CoRR (2021)
Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi
When the Umpire is also a Player: Bias in Private Label Product Recommendations on E-commerce Marketplaces. FAccT (2021)
Johnnatan Messias, Mohamed Alzayat, Balakrishnan Chandrasekaran, Krishna P. Gummadi, Patrick Loiseau, Alan Mislove
Selfish & Opaque Transaction Ordering in the Bitcoin Blockchain: The Case for Chain Neutrality. CoRR (2021)
Junaid Ali, Preethi Lahoti, Krishna P. Gummadi
Accounting for Model Uncertainty in Algorithmic Discrimination. CoRR (2021)
Junaid Ali, Muhammad Bilal Zafar, Adish Singla, Krishna P. Gummadi
Loss-Aversively Fair Classification. CoRR (2021)
Johnnatan Messias, Mohamed Alzayat, Balakrishnan Chandrasekaran, Krishna P. Gummadi, Patrick Loiseau, Alan Mislove
Selfish & opaque transaction ordering in the Bitcoin blockchain: the case for chain neutrality. Internet Measurement Conference (2021)
Bashir Rastegarpanah, Mark Crovella, Krishna P. Gummadi
Fair Inputs and Fair Outputs: The Incompatibility of Fairness in Privacy and Accuracy. UMAP (Adjunct Publication) (2020)
Vitalii Emelianov, Nicolas Gast, Krishna P. Gummadi, Patrick Loiseau
On Fair Selection in the Presence of Implicit Variance. EC (2020)
Bashir Rastegarpanah, Mark Crovella, Krishna P. Gummadi
Fair Inputs and Fair Outputs: The Incompatibility of Fairness in Privacy and Accuracy. CoRR (2020)
Gourab K. Patro, Arpita Biswas, Niloy Ganguly, Krishna P. Gummadi, Abhijnan Chakraborty
FairRec: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms. CoRR (2020)
Vedant Nanda, Till Speicher, John P. Dickerson, Krishna P. Gummadi, Muhammad Bilal Zafar
Unifying Model Explainability and Robustness via Machine-Checkable Concepts. CoRR (2020)
Michiel A. Bakker, Humberto Riverón Valdés, Duy Patrick Tu, Krishna P. Gummadi, Kush R. Varshney, Adrian Weller, Alex Pentland
Fair Enough: Improving Fairness in Budget-Constrained Decision Making Using Confidence Thresholds. SafeAI@AAAI (2020)
Abhijnan Chakraborty, Krishna P. Gummadi
Fairness in Algorithmic Decision Making. COMAD/CODS (2020)
Gourab K. Patro, Arpita Biswas, Niloy Ganguly, Krishna P. Gummadi, Abhijnan Chakraborty
FairRec: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms. WWW (2020)
Vitalii Emelianov, Nicolas Gast, Krishna P. Gummadi, Patrick Loiseau
On Fair Selection in the Presence of Implicit Variance. CoRR (2020)
Ana-Andreea Stoica, Abhijnan Chakraborty, Palash Dey, Krishna P. Gummadi
Minimizing Margin of Victory for Fair Political and Educational Districting. AAMAS (2020)
Gourab K. Patro, Abhijnan Chakraborty, Niloy Ganguly, Krishna P. Gummadi
Fair Updates in Two-Sided Market Platforms: On Incrementally Updating Recommendations. AAAI (2020)
Gourab K. Patro, Abhijnan Chakraborty, Niloy Ganguly, Krishna P. Gummadi
On Fair Virtual Conference Scheduling: Achieving Equitable Participant and Speaker Satisfaction. CoRR (2020)
Nuno Mota, Abhijnan Chakraborty, Asia J. Biega, Krishna P. Gummadi, Hoda Heidari
On the Desiderata for Online Altruism: Nudging for Equitable Donations. Proc. ACM Hum. Comput. Interact. 4 (CSCW2) (2020)
Michiel A. Bakker, Duy Patrick Tu, Humberto Riverón Valdés, Krishna P. Gummadi, Kush R. Varshney, Adrian Weller, Alex Pentland
DADI: Dynamic Discovery of Fair Information with Adversarial Reinforcement Learning. CoRR (2019)
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)
Hoda Heidari, Michele Loi, Krishna P. Gummadi, Andreas Krause
A Moral Framework for Understanding Fair ML through Economic Models of Equality of Opportunity. FAT (2019)
Abhijnan Chakraborty, Saptarshi Ghosh, Niloy Ganguly, Krishna P. Gummadi
Editorial Versus Audience Gatekeeping: Analyzing News Selection and Consumption Dynamics in Online News Media. IEEE Trans. Comput. Soc. Syst. 6 (4) (2019)
Tom Sühr, Asia J. Biega, Meike Zehlike, Krishna P. Gummadi, Abhijnan Chakraborty
Two-Sided Fairness for Repeated Matchings in Two-Sided Markets: A Case Study of a Ride-Hailing Platform. KDD (2019)
Preethi Lahoti, Krishna P. Gummadi, Gerhard Weikum
iFair: Learning Individually Fair Data Representations for Algorithmic Decision Making. ICDE (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)
Krishna P. Gummadi
Foundations for Fair Algorithmic Decision Making. EGC (2019)
H. V. Jagadish, Francesco Bonchi, Tina Eliassi-Rad, Lise Getoor, Krishna P. Gummadi, Julia Stoyanovich
The Responsibility Challenge for Data. SIGMOD Conference (2019)
Hanchen Wang, Nina Grgic-Hlaca, Preethi Lahoti, Krishna P. Gummadi, Adrian Weller
An Empirical Study on Learning Fairness Metrics for COMPAS Data with Human Supervision. CoRR (2019)
Gourab K. Patro, Abhijnan Chakraborty, Niloy Ganguly, Krishna P. Gummadi
Incremental Fairness in Two-Sided Market Platforms: On Updating Recommendations Fairly. CoRR (2019)
Krishna P. Gummadi, Hoda Heidari
Economic Theories of Distributive Justice for Fair Machine Learning. WWW (Companion Volume) (2019)
Bashir Rastegarpanah, Krishna P. Gummadi, Mark Crovella
Fighting Fire with Fire: Using Antidote Data to Improve Polarization and Fairness of Recommender Systems. WSDM (2019)
Hoda Heidari, Vedant Nanda, Krishna P. Gummadi
On the Long-term Impact of Algorithmic Decision Policies: Effort Unfairness and Feature Segregation through Social Learning. CoRR (2019)
Junaid Ali, Mahmoudreza Babaei, Abhijnan Chakraborty, Baharan Mirzasoleiman, Krishna P. Gummadi, Adish Singla
On the Fairness of Time-Critical Influence Maximization in Social Networks. CoRR (2019)
Abhijnan Chakraborty, Saptarshi Ghosh, Niloy Ganguly, Krishna P. Gummadi
Optimizing the recency-relevance-diversity trade-offs in non-personalized news recommendations. Inf. Retr. J. 22 (5) (2019)
Vitalii Emelianov, George Arvanitakis, Nicolas Gast, Krishna P. Gummadi, Patrick Loiseau
The Price of Local Fairness in Multistage Selection. IJCAI (2019)
Mahmoudreza Babaei, Abhijnan Chakraborty, Juhi Kulshrestha, Elissa M. Redmiles, Meeyoung Cha, Krishna P. Gummadi
Analyzing Biases in Perception of Truth in News Stories and Their Implications for Fact Checking. FAT (2019)
Filipe Nunes Ribeiro, Koustuv Saha, Mahmoudreza Babaei, Lucas Henrique C. Lima, Johnnatan Messias, Fabrício Benevenuto, Oana Goga, Krishna P. Gummadi, Elissa M. Redmiles
On Microtargeting Socially Divisive Ads: A Case Study of Russia-Linked Ad Campaigns on Facebook. FAT (2019)
Nina Grgic-Hlaca, Christoph Engel, Krishna P. Gummadi
Human Decision Making with Machine Assistance: An Experiment on Bailing and Jailing. Proc. ACM Hum. Comput. Interact. 3 (CSCW) (2019)
Ana-Andreea Stoica, Abhijnan Chakraborty, Palash Dey, Krishna P. Gummadi
Minimizing Margin of Victory for Fair Political and Educational Districting. CoRR (2019)
Vitalii Emelianov, George Arvanitakis, Nicolas Gast, Krishna P. Gummadi, Patrick Loiseau
The Price of Local Fairness in Multistage Selection. CoRR (2019)
Abhijnan Chakraborty, Gourab K. Patro, Niloy Ganguly, Krishna P. Gummadi, Patrick Loiseau
Equality of Voice: Towards Fair Representation in Crowdsourced Top-K Recommendations. FAT (2019)
Preethi Lahoti, Krishna P. Gummadi, Gerhard Weikum
Operationalizing Individual Fairness with Pairwise Fair Representations. CoRR (2019)
Abhijnan Chakraborty, Nuno Mota, Asia J. Biega, Krishna P. Gummadi, Hoda Heidari
On the Impact of Choice Architectures on Inequality in Online Donation Platforms. WWW (2019)
Mohsen Minaei, Mainack Mondal, Patrick Loiseau, Krishna P. Gummadi, Aniket Kate
Lethe: Conceal Content Deletion from Persistent Observers. Proc. Priv. Enhancing Technol. 2019 (1) (2019)
Giridhari Venkatadri, Piotr Sapiezynski, Elissa M. Redmiles, Alan Mislove, Oana Goga, Michelle L. Mazurek, Krishna P. Gummadi
Auditing Offline Data Brokers via Facebook's Advertising Platform. WWW (2019)

Krishna P. Gummadi.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Krishna P. Gummadi