| 1. | Samhita Kanaparthy; Sankarshan Damle; Sujit Gujar: REFORM: Reputation Based Fair and Temporal Reward Framework for Crowdsourcing. In the Proceedings of International Conference on Autonomous Agents and Multiagent Systems, AAMAS'22, Forthcoming. (Type: Conference | BibTeX | Tags: crowdsourcing, incentive design)@conference{Kanaparthy22reform,
title = {REFORM: Reputation Based Fair and Temporal Reward Framework for Crowdsourcing},
author = {Samhita Kanaparthy and Sankarshan Damle and Sujit Gujar},
year = {2022},
date = {2022-05-09},
booktitle = {In the Proceedings of International Conference on Autonomous Agents and Multiagent Systems, AAMAS'22},
keywords = {crowdsourcing, incentive design},
pubstate = {forthcoming},
tppubtype = {conference}
}
|
| 2. | Anurag Jain; Sanidhay Arora; Sankarshan Damle; Sujit Gujar: Tiramisu: Layering Consensus Protocols for Scalable and Secure Blockchains. IEEE International Conference on Blockchain and Cryptocurrency, Forthcoming. (Type: Conference | BibTeX | Tags: Blockchain, Scalable Blockchain)@conference{Anurag22a,
title = {Tiramisu: Layering Consensus Protocols for Scalable and Secure Blockchains},
author = {Anurag Jain and Sanidhay Arora and Sankarshan Damle and Sujit Gujar },
year = {2022},
date = {2022-05-03},
booktitle = {IEEE International Conference on Blockchain and Cryptocurrency},
keywords = {Blockchain, Scalable Blockchain},
pubstate = {forthcoming},
tppubtype = {conference}
}
|
| 3. | 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)@conference{Samhita22a,
title = {Fair Federated Learning for Heterogeneous Data},
author = {Samhita Kanaparthy and Manisha Padala and Sankarshan Damle and Sujit Gujar},
year = {2022},
date = {2022-01-05},
booktitle = {Young Researchers Symposium, CODS-COMAD'22.},
keywords = {fairness, federated learning},
pubstate = {published},
tppubtype = {conference}
}
|
| 4. | Sankarshan Damle; Aleksei Triastcyn; Boi Faltings; Sujit Gujar: Differentially Private Multi-Agent Constraint Optimization. To Appear in the Proceeding of The 20th IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT '21), Forthcoming. (Type: Conference | BibTeX | Tags: differential privacy, distributed constrained optimization)@conference{Damle2021c,
title = {Differentially Private Multi-Agent Constraint Optimization},
author = {Sankarshan Damle and Aleksei Triastcyn and Boi Faltings and Sujit Gujar},
year = {2021},
date = {2021-12-14},
booktitle = {To Appear in the Proceeding of The 20th IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT '21)},
keywords = {differential privacy, distributed constrained optimization},
pubstate = {forthcoming},
tppubtype = {conference}
}
|
| 5. | Sankarshan Damle; Boi Faltings; Sujit Gujar: Blockchain-based Practical Multi-agent Secure Comparison and its Application in Auctions. In: To Appear in the Proceeding of The 20th IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT '21), Forthcoming. (Type: Conference | BibTeX | Tags: Blockchain, combinatorial auction, cryptography, Privacy, Security)@inproceedings{Damle2021d,
title = {Blockchain-based Practical Multi-agent Secure Comparison and its Application in Auctions},
author = {Sankarshan Damle and Boi Faltings and Sujit Gujar},
year = {2021},
date = {2021-12-14},
booktitle = {To Appear in the Proceeding of The 20th IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT '21)},
keywords = {Blockchain, combinatorial auction, cryptography, Privacy, Security},
pubstate = {forthcoming},
tppubtype = {inproceedings}
}
|
| 6. | Manisha Padala; Sankarshan Damle; Sujit Gujar: Learning Equilibrium Contributions in Multi-project Civic Crowdfunding. To Appear in the Proceeding of The 20th IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT '21), Forthcoming. (Type: Conference | Links | BibTeX | Tags: Civic Crowdfunding, Mechanism Design, Reinforcement Learning)@conference{Padala2021b,
title = {Learning Equilibrium Contributions in Multi-project Civic Crowdfunding},
author = {Manisha Padala and Sankarshan Damle and Sujit Gujar},
url = {http://mll.iiit.ac.in/wp-content/uploads/2022/04/wi_iat_camera_ready_compressed-2.pdf},
year = {2021},
date = {2021-12-14},
booktitle = {To Appear in the Proceeding of The 20th IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT '21)},
keywords = {Civic Crowdfunding, Mechanism Design, Reinforcement Learning},
pubstate = {forthcoming},
tppubtype = {conference}
}
|
| 7. | 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)@inproceedings{Manisha2021b,
title = {Federated Learning Meets Fairness and Differential Privacy},
author = {Manisha Padala and Sankarshan Damle, and Sujit Gujar},
year = {2021},
date = {2021-12-08},
publisher = {Proceedings of the 28th International Conference on Neural Information Processing (ICONIP) of the Asia-Pacific Neural Network Society 2021 (ICONIP '21)},
keywords = {differential privacy, fairness, federated learning},
pubstate = {forthcoming},
tppubtype = {inproceedings}
}
|
| 8. | 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)@conference{sankarshan2021b,
title = {Designing Refund Bonus Schemes for Provision Point Mechanism in Civic Crowdfunding},
author = {Sankarshan Damle and Moin Hussain Moti and Praphul Chandra and Sujit Gujar},
year = {2021},
date = {2021-11-08},
booktitle = {18th Pacific Rim International Conference on Artificial Intelligence (PRICAI-2021) },
keywords = {Blockchains, Civic Crowdfunding, differential privacy, fairness, federated learning},
pubstate = {forthcoming},
tppubtype = {conference}
}
|
| 9. | 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)@conference{manisha2021a,
title = {Building Ethical AI: Federated Learning meets Fairness and Privacy},
author = {Padala Manisha and Sankarshan Damle and Sujit Gujar },
year = {2021},
date = {2021-06-17},
booktitle = {First Indian Conference on Deployable AI},
keywords = {differential privacy, fairness, federated learning},
pubstate = {published},
tppubtype = {conference}
}
|
| 10. | Sankarshan Damle; Sujit Gujar; Moin Hussain Moti: FASTEN: Fair and Secure Distributed Voting Using Smart Contracts. In: IEEE International Conference on Blockchain and Cryptocurrency (IEEE ICBC 2021), 2021. (Type: Conference | BibTeX | Tags: Ethereum, Privacy, Security, Voting)@inproceedings{Damle2021,
title = {FASTEN: Fair and Secure Distributed Voting Using Smart Contracts},
author = {Sankarshan Damle and Sujit Gujar and Moin Hussain Moti},
year = {2021},
date = {2021-05-04},
booktitle = {IEEE International Conference on Blockchain and Cryptocurrency (IEEE ICBC 2021)},
keywords = {Ethereum, Privacy, Security, Voting},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| 11. | Sankarshan Damle; Aleksei Triastcyn; Boi Faltings; Sujit Gujar: Differentially Private Multi-Agent Constraint Optimization. The Second AAAI Workshop on Privacy-Preserving Artificial Intelligence (PPAI-21), 2021. (Type: Workshop | Abstract | Links | BibTeX | Tags: differential privacy)@workshop{Damle2021b,
title = {Differentially Private Multi-Agent Constraint Optimization},
author = {Sankarshan Damle and Aleksei Triastcyn and Boi Faltings and Sujit Gujar},
editor = {Ferdinando Fioretto},
url = {https://ppai21.github.io/files/38-paper.pdf},
year = {2021},
date = {2021-02-08},
booktitle = {The Second AAAI Workshop on Privacy-Preserving Artificial Intelligence (PPAI-21)},
abstract = {Several optimization scenarios involve multiple agents that
desire to protect the privacy of their preferences. There ex-
ist distributed algorithms for constraint optimization that pro-
vide improved privacy protection through secure multiparty
computation. However, it comes at the expense of high com-
putational complexity and does not constitute a rigorous pri-
vacy guarantee, as the result of the computation itself may
compromise agents’ preferences. In this work, we show how
to achieve differential privacy through randomization of the
solving process. In particular, we present P-Gibbs, which
adapts the SD-Gibbs algorithm to obtain differential privacy
guarantees with much higher computational efficiency. Ex-
periments on graph coloring and meeting scheduling show
the algorithm’s privacy-performance trade-off compared to
variants with uniform sampling and the SD-Gibbs algorithm.},
keywords = {differential privacy},
pubstate = {published},
tppubtype = {workshop}
}
Several optimization scenarios involve multiple agents that
desire to protect the privacy of their preferences. There ex-
ist distributed algorithms for constraint optimization that pro-
vide improved privacy protection through secure multiparty
computation. However, it comes at the expense of high com-
putational complexity and does not constitute a rigorous pri-
vacy guarantee, as the result of the computation itself may
compromise agents’ preferences. In this work, we show how
to achieve differential privacy through randomization of the
solving process. In particular, we present P-Gibbs, which
adapts the SD-Gibbs algorithm to obtain differential privacy
guarantees with much higher computational efficiency. Ex-
periments on graph coloring and meeting scheduling show
the algorithm’s privacy-performance trade-off compared to
variants with uniform sampling and the SD-Gibbs algorithm. |
| 12. | Sanidhay Arora; Anurag Jain; Sankarshan Damle; Sujit Gujar: ASHWAChain: A Fast, Scalable and Strategy-proof Committee-based Blockchain Protocol. Workshop on Game Theory in Blockchain at WINE 2020 (GTiB@WINE 2020), 2020. (Type: Workshop | BibTeX | Tags: Blockchain, Blockchain Consensus Protocols, Game Theory, Scalable Blockchain)@workshop{Arora2020,
title = {ASHWAChain: A Fast, Scalable and Strategy-proof Committee-based Blockchain Protocol},
author = {Sanidhay Arora and Anurag Jain and Sankarshan Damle and Sujit Gujar},
editor = {Jing Chen and Xiaotie Deng},
year = {2020},
date = {2020-12-11},
booktitle = {Workshop on Game Theory in Blockchain at WINE 2020 (GTiB@WINE 2020)},
keywords = {Blockchain, Blockchain Consensus Protocols, Game Theory, Scalable Blockchain},
pubstate = {published},
tppubtype = {workshop}
}
|
| 13. | Sankarshan Damle; Moin Hussain Moti; Praphul Chandra; Sujit Gujar: Designing Refund Bonus Schemes for Provision Point Mechanism in Civic Crowdfunding. Games, Agents, and Incentives Workshop (GAIW@AAMAS 2020), 2020. (Type: Workshop | Links | BibTeX | Tags: Blockchains, Civic Crowdfunding, Ethereum)@workshop{Damle2020,
title = {Designing Refund Bonus Schemes for Provision Point Mechanism in Civic Crowdfunding},
author = {Sankarshan Damle and Moin Hussain Moti and Praphul Chandra and Sujit Gujar},
editor = {Sankarshan Damle},
url = {http://www.agent-games-2020.preflib.org/wp-content/uploads/2020/05/GAIW2020_paper_9.pdf},
year = {2020},
date = {2020-05-11},
booktitle = {Games, Agents, and Incentives Workshop (GAIW@AAMAS 2020)},
keywords = {Blockchains, Civic Crowdfunding, Ethereum},
pubstate = {published},
tppubtype = {workshop}
}
|
| 14. | Sankarshan Damle; Moin Hussain Moti; Praphul Chandra; Sujit Gujar: Civic Crowdfunding for Agents with Negative Valuations and Agents with Asymmetric Beliefs. In: IJCAI, pp. 208–214, ijcai.org, 2019. (Type: Conference | Links | BibTeX | Tags: Civic Crowdfunding, Mechanism Design)@inproceedings{DBLP:conf/ijcai/DamleMCG19,
title = {Civic Crowdfunding for Agents with Negative Valuations and Agents with Asymmetric Beliefs},
author = {Sankarshan Damle and Moin Hussain Moti and Praphul Chandra and Sujit Gujar},
url = {http://mll.iiit.ac.in/publication-blogs/ppsn/
},
year = {2019},
date = {2019-01-01},
booktitle = {IJCAI},
pages = {208--214},
publisher = {ijcai.org},
keywords = {Civic Crowdfunding, Mechanism Design},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| 15. | Sankarshan Damle; Boi Faltings; Sujit Gujar: A Truthful, Privacy-Preserving, Approximately Efficient Combinatorial Auction For Single-minded Bidders. In: AAMAS, pp. 1916–1918, International Foundation for Autonomous Agents and Multiagent Systems, 2019. (Type: Conference | BibTeX | Tags: auctions, Blockchains, Privacy, Security)@inproceedings{DBLP:conf/atal/DamleFG19,
title = {A Truthful, Privacy-Preserving, Approximately Efficient Combinatorial Auction For Single-minded Bidders},
author = {Sankarshan Damle and Boi Faltings and Sujit Gujar},
year = {2019},
date = {2019-01-01},
booktitle = {AAMAS},
pages = {1916--1918},
publisher = {International Foundation for Autonomous Agents and Multiagent Systems},
keywords = {auctions, Blockchains, Privacy, Security},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| 16. | Sankarshan Damle; Moin Hussain Moti; Praphul Chandra; Sujit Gujar: Aggregating Citizen Preferences for Public Projects Through Civic Crowdfunding. In: AAMAS, pp. 1919–1921, International Foundation for Autonomous Agents and Multiagent Systems, 2019. (Type: Conference | BibTeX | Tags: Civic Crowdfunding, Mechanism Design)@inproceedings{DBLP:conf/atal/DamleMCG19,
title = {Aggregating Citizen Preferences for Public Projects Through Civic Crowdfunding},
author = {Sankarshan Damle and Moin Hussain Moti and Praphul Chandra and Sujit Gujar},
year = {2019},
date = {2019-01-01},
booktitle = {AAMAS},
pages = {1919--1921},
publisher = {International Foundation for Autonomous Agents and Multiagent Systems},
keywords = {Civic Crowdfunding, Mechanism Design},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| 17. | Sankarshan Damle; Padala Manisha; Sujit Gujar: Welfare Optimal Combinatorial Civic Crowdfunding with Budgeted Agents. Games, Agents and Incentives Workshop, 0000. (Type: Workshop | BibTeX | Tags: Civic Crowdfunding)@workshop{damle22aoptMCC,
title = {Welfare Optimal Combinatorial Civic Crowdfunding with Budgeted Agents},
author = {Sankarshan Damle and Padala Manisha and Sujit Gujar},
booktitle = {Games, Agents and Incentives Workshop},
keywords = {Civic Crowdfunding},
pubstate = {published},
tppubtype = {workshop}
}
|
