2026-09-20T23:39:35Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/121526 2023-12-13 col_2142_5131 col_2142_10761 com_2142_5130 com_2142_10755 com_2142_234

text Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-12-04 without embargo terms The student, Thomas Yurek, accepted the attached license on 2023-07-13 at 18:52. The student, Thomas Yurek, submitted this Dissertation for approval on 2023-07-13 at 18:59. This Dissertation was approved for publication on 2023-07-14 at 09:42. DSpace SAF Submission Ingestion Package generated from Vireo submission #19686 on 2023-12-04 at 17:02:36 Miller, Andrew Miller, Andrew Kate, Aniket Ren, Ling Borisov, Nikita Levchenko, Kirill 2023-08 application/pdf en 2023-07-14 Multiparty Computation Secret Sharing Cryptography Asynchronous The Internet has become increasingly centralized. While the early internet of the 90's and early 2000's could be described as an eclectic and often chaotic collection of decentralized niche communities, market forces have pushed the internet increasingly towards the centralization of information and the surveillance of internet users. In response, a new movement has emerged which seeks to create decentralized infrastructure which avoids the need for trusted authorities and respects user privacy. However, this is an incredibly daunting task: trustless decentralized services are inherently more difficult to build than trusted centralized ones, and moreover, many of the tools and techniques needed to make competitive decentralized infrastructure do not yet exist. This work aims to take a step towards remedying this issue and focuses primarily on tools to build multiparty computation: a privacy-respecting method of computing useful information from private user data. More specifically, we focus on the deployment of the first functional prototypes of decentralized protocols which simultaneously operate under the most restrictive network settings and tolerate as much active interference as possible. Text eng https://hdl.handle.net/2142/121526 Copyright 2023 Thomas Yurek Building blocks for robust, private, and decentralized computation Yurek, Thomas James Ph.D. Dissertation Computer Science University of Illinois at Urbana-Champaign Computer Science