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  4. A Truthful, Privacy-Preserving, Approximately Efficient Combinatorial Auction For Single-minded Bidders
 
conference paper

A Truthful, Privacy-Preserving, Approximately Efficient Combinatorial Auction For Single-minded Bidders

Damle, Sankarshan
•
Faltings, Boi  
•
Gujar, Sujit  
January 1, 2019
Aamas '19: Proceedings Of The 18Th International Conference On Autonomous Agents And Multiagent Systems
18th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS)

Combinatorial auctions are widely used to sell resources/items. The challenges in such auctions are multi-fold. We need to ensure that bidders, the strategic agents, bid their valuations truthfully to the auction mechanism. Besides, the agents may desire privacy of their identities as well as their bidding information. We consider three types of privacies: agent privacy, the identities of the losing bidders must not be revealed to any other agent except the auctioneer (AU), bid privacy, the bid values must be hidden from the other agents as well as the AU and bid-topology privacy, the items for which the agents are bidding must be hidden from the other agents as well as the AU. In this paper, we address whether can we solve the allocation and payment determination problems, which are NP-hard, approximately for single-minded bidders while preserving privacy. In the literature, root m-approximation, where m is the number of items auctioned, and a strategy-proof mechanism is available for this, which we refer to as ICA-SM. To implement ICA-SM with privacy, we propose a novel cryptographic protocol TPACAS. We show that TPACAS achieves these privacy guarantees with high probability. To accomplish this, we use notaries who are semi-trusted third parties. We show that, in TPACAS, notaries do not learn any information about the agents and their bidding information.

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Type
conference paper
Web of Science ID

WOS:000474345000257

Author(s)
Damle, Sankarshan
Faltings, Boi  
Gujar, Sujit  
Date Issued

2019-01-01

Publisher

ASSOC COMPUTING MACHINERY

Publisher place

New York

Published in
Aamas '19: Proceedings Of The 18Th International Conference On Autonomous Agents And Multiagent Systems
ISBN of the book

978-1-4503-6309-9

Start page

1916

End page

1918

Subjects

combinatorial auctions

•

privacy and security

•

truthful mechanism design

•

computation

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LIA  
Event nameEvent placeEvent date
18th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS)

Montreal, CANADA

May 13-17, 2019

Available on Infoscience
August 14, 2019
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/159759
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