{"id":{"repo_id":"tamu","oai_identifier":"oai:oaktrust.library.tamu.edu:1969.1/1597806"},"canonical_url":"https://search.dev.ndltd.org/etd/tamu/oai:oaktrust.library.tamu.edu:1969.1/1597806","repository":{"repo_id":"tamu","name":"Texas A&M University","base_url":"https://oaktrust.library.tamu.edu/server/oai/request"},"display":{"title":"Collaborative Zero-Knowledge Proofs with Secure Multiparty Computations","abstract":"We study argument system. The argument system allows prover to convince verifier that a delegated computation is correctly computed through a prover-generated proof. Argument system can guarantee security in an untrusted setting, such as cloud computing. In particular, we focus on zero-knowledge argument system, where the proof does not reveal any secret about the input. However, existing zero-knowledge argument system lacks efficiency, for proof generation takes huge computational overhead. In this thesis, we propose a new zero-knowledge argument system. Our construction. Our new construction reduce the proof generation time by orders of magnitude. On top of that, our construction can guarantee data privacy for the verifier.","abstract_html":"We study argument system. The argument system allows prover to convince verifier that a delegated computation is correctly computed through a prover-generated proof. Argument system can guarantee security in an untrusted setting, such as cloud computing. In particular, we focus on zero-knowledge argument system, where the proof does not reveal any secret about the input. However, existing zero-knowledge argument system lacks efficiency, for proof generation takes huge computational overhead. In this thesis, we propose a new zero-knowledge argument system. Our construction. Our new construction reduce the proof generation time by orders of magnitude. On top of that, our construction can guarantee data privacy for the verifier.","abstract_has_math":false,"creators":["Wu, Wenxuan 1996-"],"institution":"Texas A&M University","degree_name":"Doctor of Philosophy","degree_level":null,"degree_discipline":"Computer Science","degree_department":null,"school":null,"contributors":[],"advisors":["Zhang, Yupeng"],"committee_chairs":[],"committee_members":["Liu, Wencai","Gu, Guofei","Garay, Juan"],"year":2025,"date_issued":"2025-08","date_published":"2025-08","updated_at":"2026-08-21T16:48:40Z","subjects":["Computer Science"],"languages":["English"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/1969.1/1597806","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"source_record":{"url":"https://oaktrust.library.tamu.edu/server/oai/request?verb=GetRecord&metadataPrefix=dim&identifier=oai%3Aoaktrust.library.tamu.edu%3A1969.1%2F1597806","prefix":"dim"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Zhang, Yupeng"]},{"key":"dc:contributor.committeemember","label":"Committee Member","values":["Liu, Wencai","Gu, Guofei","Garay, Juan"]},{"key":"dc:creator","label":"Author","values":["Wu, Wenxuan 1996-"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2026-02-04T21:42:53Z"]},{"key":"dc:date.issued","label":"Date","values":["2025-08"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Computer Science"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Doctor of Philosophy"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["Texas A&M University"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Computer Science"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["English"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/1969.1/1597806"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["We study argument system. The argument system allows prover to convince verifier that a delegated computation is correctly computed through a prover-generated proof. Argument system can guarantee security in an untrusted setting, such as cloud computing. In particular, we focus on zero-knowledge argument system, where the proof does not reveal any secret about the input. However, existing zero-knowledge argument system lacks efficiency, for proof generation takes huge computational overhead. In this thesis, we propose a new zero-knowledge argument system. Our construction. Our new construction reduce the proof generation time by orders of magnitude. On top of that, our construction can guarantee data privacy for the verifier."]},{"key":"dc:format.mimetype","label":"Dc Format Mimetype","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Collaborative Zero-Knowledge Proofs with Secure Multiparty Computations"]}]}],"canonical_facts":{"dc:contributor.advisor":["Zhang, Yupeng"],"dc:contributor.committeemember":["Liu, Wencai","Gu, Guofei","Garay, Juan"],"dc:creator":["Wu, Wenxuan 1996-"],"dc:date.accessioned":["2026-02-04T21:42:53Z"],"dc:date.issued":["2025-08"],"dc:description.abstract":["We study argument system. The argument system allows prover to convince verifier that a delegated computation is correctly computed through a prover-generated proof. Argument system can guarantee security in an untrusted setting, such as cloud computing. In particular, we focus on zero-knowledge argument system, where the proof does not reveal any secret about the input. However, existing zero-knowledge argument system lacks efficiency, for proof generation takes huge computational overhead. In this thesis, we propose a new zero-knowledge argument system. Our construction. Our new construction reduce the proof generation time by orders of magnitude. On top of that, our construction can guarantee data privacy for the verifier."],"dc:format.mimetype":["application/pdf"],"dc:identifier.uri":["https://hdl.handle.net/1969.1/1597806"],"dc:language.iso":["English"],"dc:subject":["Computer Science"],"dc:title":["Collaborative Zero-Knowledge Proofs with Secure Multiparty Computations"],"dc:type":["Thesis"],"thesis:degree_discipline":["Computer Science"],"thesis:degree_name":["Doctor of Philosophy"],"thesis:institution_name":["Texas A&M University"]},"updated_at":"2026-08-21T16:48:40Z"}