Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource CONFIDENTIAL TRAINING AND INFERENCE USING SECURE MULTI-PARTY COMPUTATION ON VERTICALLY PARTITIONED DATASET Subject The topic of the resource Confidential Inference; Differential Privacy (DP); Privacy-Preserving Machine Learning (PPML); Vertically Partitioned Datasets Secure Multi-Party Computation (SMPC) Description An account of the resource Digitalization across all spheres of life has given rise to issues like data ownership and privacy. Privacy-Preserving Machine Learning (PPML), an active area of research, aims to preserve privacy for machine learning (ML) stakeholders like data owners, ML model owners, and inference users. The Paper, CoTraIn-VPD, proposes private ML inference and training of models for vertically partitioned datasets with Secure Multi-Party Computation (SPMC) and Differential Privacy (DP) techniques. The proposed approach addresses complications linked with the privacy of various ML stakeholders dealing with vertically portioned datasets. This technique is implemented in Python using open-source libraries such as SyMPC (SMPC functions), PyDP (DP aggregations), and CrypTen (secure and private training). The paper uses information privacy measures, including mutual information and KL-Divergence, across different privacy budgets to empirically demonstrate privacy preservation with high ML accuracy and minimal performance cost. 2023 SCPE. Creator An entity primarily responsible for making the resource Tiwari K.; Sarkar N.; George J.P. Source A related resource from which the described resource is derived Scalable Computing, Vol-24, No. 4, pp. 1065-1076. Publisher An entity responsible for making the resource available West University of Timisoara Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.12694/scpe.v24i4.2220" target="_blank" rel="noreferrer noopener">https://doi.org/10.12694/scpe.v24i4.2220</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85178241762&amp;doi=10.12694%2Fscpe.v24i4.2220&amp;partnerID=40&amp;md5=134f5a3c12774c29aea759de67753e74" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85178241762&amp;doi=10.12694%2fscpe.v24i4.2220&amp;partnerID=40&amp;md5=134f5a3c12774c29aea759de67753e74</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 18951767 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Tiwari K., Department of Computer Science, CHRIST University, India; Sarkar N., Department of Computer Science, CHRIST University, India; George J.P., Department of Computer Science, CHRIST University, India