Publications
Tutorials
Tutorial on Fair and Private Deep Learning
Manisha Padala, Sankarshan Damle, and Sujit Gujar
As part of the 7th Joint International Conference on Data Science & Management of Data (ACM CODS-COMAD 2024)
CODE π§βπ» https://github.com/magnetar-iiith/FairPrivateDL
Ph.D. Dissertation
Designing Game-theoretically Sound, Fair, and Private Multi-agent Systems
Sankarshan Damle
Comments welcome π!
Journal Papers
AVeCQ: Anonymous Verifiable Crowdsourcing with Worker Qualities
Vlasis Koutsos, Sankarshan Damle, Dimitrios Papadopoulos, Dimitris Chatzopoulos, Sujit Gujar
IEEE Transactions on Transactions on Dependable and Secure Computing (TDSC)
PREPRINT πΒ https://arxiv.org/abs/2302.03941
CODE π§βπ» https://github.com/sankarshandamle/AVeCQDifferentially Private Multi-Agent Constraint Optimization
Sankarshan Damle, Aleksei Triastcyn, Boi Faltings, and Sujit Gujar
Journal of Autonomous Agents and Multi-Agent Systems (JAAMAS) Β [pdf]
Early versions of this work also appeared at WI-IAT '21 and PPAI@AAAI '21
CODE π§βπ» https://github.com/magnetar-iiith/PGiBBS
Conference Papers
Designing Redistribution Mechanisms for Reducing Transaction Fees in Blockchains
Sankarshan Damle, Manisha Padala, and Sujit Gujar [AAMAS '24]
To appear as a full paper at AAMAS '24Analyzing Crowdfunding of Public Projects Under Dynamic Beliefs
Sankarshan Damle and Sujit Gujar [AAMAS '24]
To appear as an extended abstract at AAMAS '24No Transaction Fees? No Problem! Achieving Fairness in Transaction Fee Mechanism Design
Sankarshan Damle, Varul Srivastava and Sujit Gujar [AAMAS '24]
To appear as an extended abstract at AAMAS '24F3: Fair and Federated Face Attribute Classification with Heterogeneous Data
Samhita Kanaparthy, Manisha Padala, Sankarshan Damle, Ravi Kiran Sarvadevabhatla, and Sujit Gujar [PAKDD '23] [pdf]
CODE π§βπ» https://github.com/magnetar-iiith/F3Combinatorial Civic Crowdfunding with Budgeted Agents: Welfare Optimality at Equilibrium and Optimal Deviation
Sankarshan Damle, Manisha Padala, and Sujit Gujar [AAAI '23][pdf]
CODE π§βπ» https://github.com/magnetar-iiith/CCC
A preliminary version of this work also appeared at GAIW@AAMAS '22Differentially Private Federated Combinatorial Bandits with Constraint
Sambhav Solanki, Samhita Kanaparthy, Sankarshan Damle, and Sujit Gujar [ECML PKDD '22] [pdf]Tiramisu: Layering Consensus Protocols for Scalable and Secure Blockchains
Anurag Jain, Sanidhay Arora, Sankarshan Damle, and Sujit Gujar [IEEE ICBC '22] [pdf]
A preliminary version of this work also appeared at GTiB@WINE '20REFORM: Reputation Based Fair and Temporal Reward Framework for Crowdsourcing
Samhita Kanaparthy, Sankarshan Damle, and Sujit Gujar [AAMAS '22] [pdf]Fair Federated Learning for Heterogeneous Face Data
Samhita Kanaparthy, Manisha Padala, Sankarshan Damle, and Sujit Gujar [ACM IKDD CODS COMAD '22] [pdf]
Appears in the Young Researchers' Symposium TrackLearning Equilibrium Contributions in Multi-project Civic Crowdfunding
Manisha Padala, Sankarshan Damle, and Sujit Gujar [IEEE/WIC/ACM WI-IAT '21] [pdf]Blockchain-based Practical Multi-agent Secure Comparison and its Application in Auctions
Sankarshan Damle, Boi Faltings, and Sujit Gujar [IEEE/WIC/ACM WI-IAT '21] [pdf]
First appeared at AAMAS '19 as an extended abstractDifferentially Private Multi-Agent Constraint Optimization
Sankarshan Damle, Aleksei Triastcyn, Boi Faltings, and Sujit Gujar [IEEE/WIC/ACM WI-IAT '21] [pdf]
A preliminary version of this work also appeared at PPAI@AAAI '21Federated Learning Meets Fairness and Differential Privacy
Padala Manisha, Sankarshan Damle, and Sujit Gujar [ICONIP '21] [pdf]
π Also received the Best Paper Award at the Deployable AI Conference (DAI ' 21)
CODE π§βπ» https://github.com/magnetar-iiith/FPFLDesigning Refund Bonus Schemes for Provision Point Mechanism in Civic Crowdfunding
Sankarshan Damle, Moin Hussain Moti, Praphul Chandra, and Sujit Gujar [PRICAI '21] [pdf]
A preliminary version of this work also appeared at GAIW@AAMASΒ '20FASTEN: Fair and Secure Distributed Voting Using Smart Contracts
Sankarshan Damle, Sujit Gujar, and Moin Hussain Moti [IEEE ICBC '21] [pdf] Β
π° This work was featured in The HinduCivic Crowdfunding for Agents with Negative Valuations and Agents with Asymmetric Beliefs
Sankarshan Damle, Moin Hussain Moti, Praphul Chandra, and Sujit Gujar [IJCAI '19] [pdf]Aggregating Citizen Preferences for Public Projects Through Civic Crowdfunding
Sankarshan Damle, Moin Hussain Moti, Praphul Chandra, and Sujit Gujar [AAMAS '19] [pdf]A Truthful, Privacy-Preserving, Approximately Efficient Combinatorial Auction For Single-minded Bidders
Sankarshan Damle, Boi Faltings, and Sujit Gujar [AAMAS '19] [pdf]