{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,4]],"date-time":"2026-03-04T17:28:38Z","timestamp":1772645318395,"version":"3.50.1"},"publisher-location":"Singapore","reference-count":25,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819997879","type":"print"},{"value":"9789819997886","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-981-99-9788-6_4","type":"book-chapter","created":{"date-parts":[[2024,2,3]],"date-time":"2024-02-03T17:02:14Z","timestamp":1706979734000},"page":"38-52","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["A Privacy-Preserving Face Recognition Scheme Combining Homomorphic Encryption and\u00a0Parallel Computing"],"prefix":"10.1007","author":[{"given":"Gong","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xianghan","family":"Zheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lingjing","family":"Zeng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weipeng","family":"Xie","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,2,4]]},"reference":[{"key":"4_CR1","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"409","DOI":"10.1007\/978-3-319-70694-8_15","volume-title":"Advances in Cryptology \u2013 ASIACRYPT 2017","author":"JH Cheon","year":"2017","unstructured":"Cheon, J.H., Kim, A., Kim, M., Song, Y.: Homomorphic encryption for arithmetic of approximate numbers. In: Takagi, T., Peyrin, T. (eds.) ASIACRYPT 2017. LNCS, vol. 10624, pp. 409\u2013437. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-70694-8_15"},{"key":"4_CR2","unstructured":"Titus, A.J., Kishore, S., Stavish, T., Rogers, S.M., Ni, K.: Pyseal: a python wrapper implementation of the seal homomorphic encryption library (2018)"},{"key":"4_CR3","unstructured":"Li, Y., Ng, K.S., Purcell, M.: A tutorial introduction to lattice-based cryptography and homomorphic encryption (2022)"},{"issue":"4","key":"4_CR4","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1049\/ise2.12052","volume":"16","author":"U Dowerah","year":"2022","unstructured":"Dowerah, U., Krishnaswamy, S.: Towards an efficient LWE-based fully homomorphic encryption scheme. IET Inf. Secur. 16(4), 16 (2022)","journal-title":"IET Inf. Secur."},{"key":"4_CR5","unstructured":"Xiaoming D., Department, E.T.: Research on fully homomorphic encryption schems. Electronics World (2016)"},{"key":"4_CR6","doi-asserted-by":"publisher","first-page":"1704","DOI":"10.1109\/TCST.2020.3019501","volume":"29","author":"Z Zhang","year":"2020","unstructured":"Zhang, Z., Cheng, P., Chen, J., Wu, J.: Secure state estimation using hybrid homomorphic encryption scheme. IEEE Trans. Control Syst. Technol. 29, 1704\u20131720 (2020)","journal-title":"IEEE Trans. Control Syst. Technol."},{"issue":"2","key":"4_CR7","first-page":"1","volume":"2021","author":"Y Wang","year":"2021","unstructured":"Wang, Y., Liang, X., Hei, X., Ji, W., Zhu, L.: Deep learning data privacy protection based on homomorphic encryption in aiot. Mob. Inf. Syst. 2021(2), 1\u201311 (2021)","journal-title":"Mob. Inf. Syst."},{"key":"4_CR8","doi-asserted-by":"publisher","first-page":"203564","DOI":"10.1109\/ACCESS.2020.3036899","volume":"8","author":"J Park","year":"2020","unstructured":"Park, J., Kim, D.S., Lim, H.: Privacy-preserving reinforcement learning using homomorphic encryption in cloud computing infrastructures. IEEE Access 8, 203564\u2013203579 (2020)","journal-title":"IEEE Access"},{"key":"4_CR9","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3477139","volume":"54","author":"A Aloufi","year":"2021","unstructured":"Aloufi, A., Hu, P., Song, Y., Lauter, K.: Computing blindfolded on data homomorphically encrypted under multiple keys: a survey. ACM Comput. Surv. (CSUR) 54, 1\u201337 (2021)","journal-title":"ACM Comput. Surv. (CSUR)"},{"key":"4_CR10","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1016\/j.ins.2020.07.023","volume":"543","author":"X Yang","year":"2021","unstructured":"Yang, X., Yi, X., Kelarev, A., Han, F., Luo, J.: A distributed networked system for secure publicly verifiable self-tallying online voting. Inf. Sci. 543, 125\u2013142 (2021)","journal-title":"Inf. Sci."},{"issue":"1","key":"4_CR11","doi-asserted-by":"publisher","first-page":"197","DOI":"10.1093\/comjnl\/bxab154","volume":"66","author":"W Xu","year":"2023","unstructured":"Xu, W., Wang, B., Hu, Y., Duan, P., Zhang, B., Liu, M.: Multi-key fully homomorphic encryption from additive homomorphism. Comput. J. 66(1), 197\u2013207 (2023)","journal-title":"Comput. J."},{"key":"4_CR12","doi-asserted-by":"publisher","first-page":"94","DOI":"10.3390\/fi13040094","volume":"13","author":"H Fang","year":"2021","unstructured":"Fang, H., Qian, Q., Chen, M.L.: Privacy preserving machine learning with homomorphic encryption and federated learning. Future Internet 13, 94 (2021)","journal-title":"Future Internet"},{"key":"4_CR13","doi-asserted-by":"crossref","unstructured":"Wibawa, F., Ozgur Catak, F., Sarp, S., Kuzlu, M., Cali, U.: Homomorphic encryption and federated learning based privacy-preserving cnn training: Covid-19 detection use-case. arXiv e-prints (2022)","DOI":"10.1145\/3528580.3532845"},{"key":"4_CR14","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1016\/j.ins.2021.06.017","volume":"575","author":"J Zhang","year":"2021","unstructured":"Zhang, J., Jiang, Z.L., Li, P., Yiu, S.M.: Privacy-preserving multikey computing framework for encrypted data in the cloud. Inf. Sci. 575, 217\u2013230 (2021)","journal-title":"Inf. Sci."},{"key":"4_CR15","doi-asserted-by":"publisher","first-page":"8757","DOI":"10.3390\/app11188757","volume":"11","author":"JH Park","year":"2021","unstructured":"Park, J.H.: Homomorphic encryption based privacy-preservation for iomt. Appl. Sci. 11, 8757 (2021)","journal-title":"Appl. Sci."},{"key":"4_CR16","doi-asserted-by":"crossref","unstructured":"Mohammed, S., Basheer, D.: From cloud computing security towards homomorphic encryption: a comprehensive review. TELKOMNIKA (Telecommunication Computing Electronics and Control) (2021)","DOI":"10.12928\/telkomnika.v19i4.16875"},{"key":"4_CR17","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/978-3-642-30057-8_1","volume-title":"Public Key Cryptography \u2013 PKC 2012","author":"C Gentry","year":"2012","unstructured":"Gentry, C., Halevi, S., Smart, N.P.: Better bootstrapping in fully homomorphic encryption. In: Fischlin, M., Buchmann, J., Manulis, M. (eds.) PKC 2012. LNCS, vol. 7293, pp. 1\u201316. Springer, Heidelberg (2012). https:\/\/doi.org\/10.1007\/978-3-642-30057-8_1"},{"key":"4_CR18","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1007\/978-3-642-20465-4_9","volume-title":"Advances in Cryptology \u2013 EUROCRYPT 2011","author":"C Gentry","year":"2011","unstructured":"Gentry, C., Halevi, S.: Implementing gentry\u2019s fully-homomorphic encryption scheme. In: Paterson, K.G. (ed.) EUROCRYPT 2011. LNCS, vol. 6632, pp. 129\u2013148. Springer, Heidelberg (2011). https:\/\/doi.org\/10.1007\/978-3-642-20465-4_9"},{"issue":"7","key":"4_CR19","doi-asserted-by":"crossref","first-page":"273","DOI":"10.53829\/ntr201407fa5","volume":"12","author":"M Tibouchi","year":"2014","unstructured":"Tibouchi, M.: Fully homomorphic encryption over the integers: from theory to practice. NTT Techn. Rev. 12(7), 273\u201381 (2014)","journal-title":"NTT Techn. Rev."},{"key":"4_CR20","unstructured":"Zhao, D.: Rache: radix-additive caching for homomorphic encryption (2022)"},{"key":"4_CR21","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/978-3-662-53887-6_1","volume-title":"Advances in Cryptology \u2013 ASIACRYPT 2016","author":"I Chillotti","year":"2016","unstructured":"Chillotti, I., Gama, N., Georgieva, M., Izabach\u00e8ne, M.: Faster fully homomorphic encryption: bootstrapping in less than 0.1 seconds. In: Cheon, J.H., Takagi, T. (eds.) ASIACRYPT 2016. LNCS, vol. 10031, pp. 3\u201333. Springer, Heidelberg (2016). https:\/\/doi.org\/10.1007\/978-3-662-53887-6_1"},{"key":"4_CR22","unstructured":"Ertaul, L.: Implementation of homomorphic encryption schemes for secure packet forwarding in mobile ad hoc networks (manets) (2022)"},{"key":"4_CR23","doi-asserted-by":"publisher","first-page":"16532","DOI":"10.1109\/ACCESS.2017.2737544","volume":"5","author":"Y Ma","year":"2017","unstructured":"Ma, Y., Wu, L., Gu, X., He, J., Yang, Z.: A secure face-verification scheme based on homomorphic encryption and deep neural networks. IEEE Access 5, 16532\u201316538 (2017)","journal-title":"IEEE Access"},{"key":"4_CR24","doi-asserted-by":"crossref","unstructured":"Jin, X., Liu, Y., Li, X., Zhao, G., Guo, K.: Privacy preserving face identification in the cloud through sparse representation. In: Chinese Conference on Biometric Recognition (2015)","DOI":"10.1007\/978-3-319-25417-3_20"},{"key":"4_CR25","doi-asserted-by":"crossref","unstructured":"Osadchy, M., Pinkas, B., Jarrous, A., Moskovich, B.: Scifi - a system for secure face identification. In: IEEE Symposium on Security & Privacy (2010)","DOI":"10.1109\/SP.2010.39"}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence Security and Privacy"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-99-9788-6_4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,10]],"date-time":"2024-11-10T01:58:59Z","timestamp":1731203939000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-99-9788-6_4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9789819997879","9789819997886"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-981-99-9788-6_4","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"4 February 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AIS&P","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Artificial Intelligence Security and Privacy","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Guangzhou","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 December 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 December 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ais&p2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/nsclab.org\/aisp2023","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Easychair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"115","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"40","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"35% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"11","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"23 large model and security workshop papers","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}