{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,1,29]],"date-time":"2025-01-29T05:28:02Z","timestamp":1738128482006,"version":"3.33.0"},"reference-count":31,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,11,22]],"date-time":"2024-11-22T00:00:00Z","timestamp":1732233600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,11,22]],"date-time":"2024-11-22T00:00:00Z","timestamp":1732233600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100010002","name":"Ministry of Education","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100010002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,11,22]]},"DOI":"10.1109\/ipccc59868.2024.10850007","type":"proceedings-article","created":{"date-parts":[[2025,1,27]],"date-time":"2025-01-27T18:37:48Z","timestamp":1738003068000},"page":"1-10","source":"Crossref","is-referenced-by-count":0,"title":["HEJet: A Framework for Efficient Machine Learning Inference with Homomorphic Encryption"],"prefix":"10.1109","author":[{"given":"David","family":"Monschein","sequence":"first","affiliation":[{"name":"Karlsruhe University of Applied Sciences,Institute of Data-Centric Software Systems (IDSS),Karlsruhe,Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Oliver P.","family":"Waldhorst","sequence":"additional","affiliation":[{"name":"Karlsruhe University of Applied Sciences,Institute of Data-Centric Software Systems (IDSS),Karlsruhe,Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-12229-8_2"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3219049"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3314221.3314628"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3385412.3386023"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/SP40001.2021.00068"},{"key":"ref6","first-page":"4715","article-title":"HECO: Fully homomorphic encryption compiler","volume-title":"32nd USENIX Security Symposium","author":"Viand"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s12083-021-01076-8"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-68035-0_9"},{"key":"ref9","article-title":"Microsoft SEAL (Release 4.1)"},{"key":"ref10","article-title":"Design and implementation of HElib: a homomorphic encryption library","volume-title":"IACR Cryptol. ePrint Arch","author":"Halevi","year":"2020"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3071264"},{"key":"ref12","first-page":"201","article-title":"CryptoNets: Applying neural networks to encrypted data with high throughput and accuracy","volume-title":"Proc. 33rd Int. Conf. on Machine Learning","author":"Dowlin"},{"key":"ref13","first-page":"812","article-title":"Low latency privacy preserving inference","volume-title":"Proc. 36th Int. Conf. on Machine Learning","volume":"97","author":"Brutzkus"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.56553\/popets-2023-0020"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TETC.2020.3014636"},{"key":"ref16","article-title":"Keras: Deep learning for humans"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-70694-8_15"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/s11227-023-05233-z"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2022.3227874"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3310273.3323047"},{"article-title":"Cryptodl: Deep neural networks over encrypted data","year":"2017","author":"Hesamifard","key":"ref21"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1186\/s42400-023-00187-4"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/HPCA56546.2023.10070984"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-32009-5_50"},{"article-title":"Comprehensive performance analysis of homomorphic cryptosystems for practical data processing","year":"2022","author":"Sidorov","key":"ref25"},{"article-title":"Faster cryptonets: Leveraging sparsity for real-world encrypted inference","year":"2018","author":"Chou","key":"ref26"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1126\/science.aaa8415"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3017436"},{"issue":"I","key":"ref29","first-page":"528","volume-title":"The Goal Question Metric Paradigm","author":"Basili","year":"1994"},{"author":"LeCun","key":"ref30","article-title":"The MNIST database of handwritten digits"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3517197"}],"event":{"name":"2024 IEEE International Performance, Computing, and Communications Conference (IPCCC)","start":{"date-parts":[[2024,11,22]]},"location":"Orlando, FL, USA","end":{"date-parts":[[2024,11,24]]}},"container-title":["2024 IEEE International Performance, Computing, and Communications Conference (IPCCC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10849998\/10850006\/10850007.pdf?arnumber=10850007","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,28]],"date-time":"2025-01-28T06:29:39Z","timestamp":1738045779000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10850007\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,22]]},"references-count":31,"URL":"https:\/\/doi.org\/10.1109\/ipccc59868.2024.10850007","relation":{},"subject":[],"published":{"date-parts":[[2024,11,22]]}}}