{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T03:07:58Z","timestamp":1769915278013,"version":"3.49.0"},"reference-count":11,"publisher":"Association for Computing Machinery (ACM)","issue":"1","license":[{"start":{"date-parts":[[2023,12,21]],"date-time":"2023-12-21T00:00:00Z","timestamp":1703116800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["Commun. ACM"],"published-print":{"date-parts":[[2024,1]]},"abstract":"<jats:p>Working toward a more secure and innovative future.<\/jats:p>","DOI":"10.1145\/3624577","type":"journal-article","created":{"date-parts":[[2023,12,21]],"date-time":"2023-12-21T13:10:41Z","timestamp":1703164241000},"page":"52-53","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":6,"title":["Confidential Computing: Elevating Cloud Security and Privacy"],"prefix":"10.1145","volume":"67","author":[{"given":"Mark","family":"Russinovich","sequence":"first","affiliation":[{"name":"Microsoft Azure, Bellevue, WA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,12,21]]},"reference":[{"key":"e_1_2_1_1_1","volume-title":"An Architecture for Trustworthy and Transparent Digital Supply Chains","author":"Birkholz H.","year":"2022","unstructured":"Birkholz, H., Delignat-Lavaud, A., Fournet, C., Deshpande, Y., and Lasker, S. An Architecture for Trustworthy and Transparent Digital Supply Chains. IETF SCITT Working Group, 2022; https:\/\/datatracker.ietf.org\/doc\/draft-ietf-scitt-architecture\/."},{"key":"e_1_2_1_2_1","volume-title":"A framework for building confidential verifiable replicated services. GitHub","author":"CCF","year":"2019","unstructured":"CCF: A framework for building confidential verifiable replicated services. GitHub, 2019; https:\/\/github.com\/microsoft\/CCF."},{"key":"e_1_2_1_3_1","unstructured":"Confidential Computing Consortium; https:\/\/confidentialcomputing.io."},{"key":"e_1_2_1_4_1","volume-title":"Unlocking the potential of privacy-preserving AI with Azure confidential computing on NVIDIA H100. Microsoft Azure Confidential Computing Blog","author":"Delignat-Lavaud A.","year":"2023","unstructured":"Delignat-Lavaud, A., Russinovich, M., Vaswani, K. Unlocking the potential of privacy-preserving AI with Azure confidential computing on NVIDIA H100. Microsoft Azure Confidential Computing Blog, 2023; https:\/\/bit.ly\/3r5OuKb"},{"key":"e_1_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3342195.3387532"},{"key":"e_1_2_1_6_1","volume-title":"Proceedings of the 25th Usenix Security Symp.","author":"Ohrimenko O.","unstructured":"Ohrimenko, O. et al. Oblivious multi-party machine learning on trusted processors. In Proceedings of the 25th Usenix Security Symp., 2016; https:\/\/bit.ly\/3sOW7VI."},{"key":"e_1_2_1_7_1","volume-title":"UC Berkeley","author":"Opaque","year":"2018","unstructured":"Opaque. RISE Lab, UC Berkeley, 2018; https:\/\/rise.cs.berkeley.edu\/projects\/opaque\/."},{"key":"e_1_2_1_8_1","volume-title":"Proceedings of the IEEE Symp. Security and Privacy, 2018","author":"Priebe C.","year":"1860","unstructured":"Priebe, C., Vaswani, K., Costa, M. EnclaveDB: A secure database using SGX. In Proceedings of the IEEE Symp. Security and Privacy, 2018, 264--278; https:\/\/ieeexplore.ieee.org\/document\/8418608."},{"key":"e_1_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3453930"},{"key":"e_1_2_1_10_1","unstructured":"Sanctum Secure Processor. MIT CSAIL 2017."},{"key":"e_1_2_1_11_1","volume-title":"Proceedings of the IEEE Symp. Security and Privacy","author":"Schuster F.","year":"2015","unstructured":"Schuster, F. et al. VC3: Trustworthy data analytics in the cloud. In Proceedings of the IEEE Symp. Security and Privacy, 2015, 38--54; https:\/\/ieeexplore.ieee.org\/document\/7163017."}],"container-title":["Communications of the ACM"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3624577","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3624577","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,23]],"date-time":"2025-08-23T18:03:39Z","timestamp":1755972219000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3624577"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,21]]},"references-count":11,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2024,1]]}},"alternative-id":["10.1145\/3624577"],"URL":"https:\/\/doi.org\/10.1145\/3624577","relation":{},"ISSN":["0001-0782","1557-7317"],"issn-type":[{"value":"0001-0782","type":"print"},{"value":"1557-7317","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,12,21]]},"assertion":[{"value":"2023-12-21","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}