1.Shantanu Das; Swapnil Dhamal; Ganesh Ghalme; Shweta Jain; Sujit Gujar: Individual Fairness in Feature-Based Pricing for Monopoly Markets. In the proceedings of 38th Conference on Uncertainty in Artificial Intelligence (UAI'22), 2022. (Type: Conference | BibTeX | Tags: fairness, pricing)
2.Samhita Kanaparthy; Manisha Padala; Sankarshan Damle; Sujit Gujar: Fair Federated Learning for Heterogeneous Data. Young Researchers Symposium, CODS-COMAD'22., 2022. (Type: Conference | BibTeX | Tags: fairness, federated learning)
3.Manisha Padala; Sujit Gujar: Mechanism Design without Money for Fair Allocations. To Appear in the proceedings of the 20th IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology 2021 (WI-IAT '21)., Forthcoming. (Type: Conference | BibTeX | Tags: fairness, Mechanism Design)
4.Manisha Padala; Sankarshan Damle ; Sujit Gujar: Federated Learning Meets Fairness and Differential Privacy. In: Proceedings of the 28th International Conference on Neural Information Processing (ICONIP) of the Asia-Pacific Neural Network Society 2021 (ICONIP '21), Forthcoming. (Type: Conference | BibTeX | Tags: differential privacy, fairness, federated learning)
5.Sankarshan Damle; Moin Hussain Moti; Praphul Chandra; Sujit Gujar: Designing Refund Bonus Schemes for Provision Point Mechanism in Civic Crowdfunding. 18th Pacific Rim International Conference on Artificial Intelligence (PRICAI-2021) , Forthcoming. (Type: Conference | BibTeX | Tags: Blockchains, Civic Crowdfunding, differential privacy, fairness, federated learning)
6.Padala Manisha; Sankarshan Damle; Sujit Gujar: Building Ethical AI: Federated Learning meets Fairness and Privacy. First Indian Conference on Deployable AI, 2021. (Type: Conference | BibTeX | Tags: differential privacy, fairness, federated learning)
7.Anurag Jain; Shoeb Siddiqui; Sujit Gujar: We might walk together, but I run faster: Network Fairness and Scalability in Blockchains. Proceedings of the 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2021), 2021. (Type: Conference | Abstract | BibTeX | Tags: Blockchains, Distributed Ledgers, fairness, Peer-to-Peer Networks, Scalability)
8.Padala Manisha; Sujit Gujar: FNNC: Achieving Fairness through Neural Networks. The 29th International Joint Conference on Artificial Intelligence, IJCAI 2020, 2020. (Type: Conference | Abstract | BibTeX | Tags: fairness, Neural Networks)
9.Shoeb Siddiqui; Sujit Gujar; Ganesh Vanahalli: BitcoinF: Achieving Fairness For Bitcoin In Transaction Fee Only Model. International Conference on Autonomous Agents and Multi-agent Systems, AAMAS 2020, 2020. (Type: Conference | BibTeX | Tags: bitcoin, fairness)