{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,24]],"date-time":"2025-06-24T07:09:50Z","timestamp":1750748990319,"version":"3.40.3"},"publisher-location":"Cham","reference-count":30,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030953904"},{"type":"electronic","value":"9783030953911"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-030-95391-1_29","type":"book-chapter","created":{"date-parts":[[2022,2,22]],"date-time":"2022-02-22T09:04:54Z","timestamp":1645520694000},"page":"462-478","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["FedSP: Federated Speaker Verification with\u00a0Personal Privacy Preservation"],"prefix":"10.1007","author":[{"given":"Yangqian","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuanfeng","family":"Song","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Di","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ye","family":"Ding","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuan","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yang","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qing","family":"Liao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,2,23]]},"reference":[{"issue":"5","key":"29_CR1","first-page":"1333","volume":"13","author":"Y Aono","year":"2017","unstructured":"Aono, Y., Hayashi, T., Wang, L., Moriai, S., et al.: Privacy-preserving deep learning via additively homomorphic encryption. IEEE Trans. Inf. Forensics Secur. 13(5), 1333\u20131345 (2017)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"29_CR2","doi-asserted-by":"crossref","unstructured":"Bu, H., Du, J., Na, X., Wu, B., Zheng, H.: Aishell-1: an open-source mandarin speech corpus and a speech recognition baseline. In: 20th Conference of the Oriental Chapter of the International Coordinating Committee on Speech Databases and Speech I\/O Systems and Assessment, pp. 1\u20135 (2017)","DOI":"10.1109\/ICSDA.2017.8384449"},{"key":"29_CR3","doi-asserted-by":"crossref","unstructured":"Chowdhury, M.F.R., Selouani, S.A., O\u2019Shaughnessy, D.: Text-independent distributed speaker identification and verification using GMM-UBM speaker models for mobile communications. In: 10th International Conference on Information Science, Signal Processing and their Applications, pp. 57\u201360 (2010)","DOI":"10.1109\/ISSPA.2010.5605556"},{"issue":"4","key":"29_CR4","doi-asserted-by":"publisher","first-page":"788","DOI":"10.1109\/TASL.2010.2064307","volume":"19","author":"N Dehak","year":"2010","unstructured":"Dehak, N., Kenny, P.J., Dehak, R., Dumouchel, P., Ouellet, P.: Front-end factor analysis for speaker verification. IEEE Trans. Audio Speech Lang. Process. 19(4), 788\u2013798 (2010)","journal-title":"IEEE Trans. Audio Speech Lang. Process."},{"key":"29_CR5","doi-asserted-by":"crossref","unstructured":"Faltlhauser, R., Ruske, G.: Improving speaker recognition using phonetically structured gaussian mixture models. In: Seventh European Conference on Speech Communication and Technology (2001)","DOI":"10.21437\/Eurospeech.2001-237"},{"key":"29_CR6","doi-asserted-by":"crossref","unstructured":"Fredrikson, M., Jha, S., Ristenpart, T.: Model inversion attacks that exploit confidence information and basic countermeasures. In: Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications Security, pp. 1322\u20131333 (2015)","DOI":"10.1145\/2810103.2813677"},{"key":"29_CR7","unstructured":"Garofolo, J.S.: Timit acoustic phonetic continuous speech corpus. Linguistic Data Consortium (1993)"},{"key":"29_CR8","doi-asserted-by":"crossref","unstructured":"Geng, X., Liu, T.Y., Qin, T., Li, H.: Feature selection for ranking. In: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 407\u2013414 (2007)","DOI":"10.1145\/1277741.1277811"},{"key":"29_CR9","doi-asserted-by":"crossref","unstructured":"Granqvist, F., Seigel, M., van Dalen, R.C., Cahill, \u00c1., Shum, S., Paulik, M.: Improving on-device speaker verification using federated learning with privacy. In: Interspeech 2020, 21st Annual Conference of the International Speech Communication Association, Virtual Event, Shanghai, China, 25\u201329 October 2020, pp. 4328\u20134332 (2020)","DOI":"10.21437\/Interspeech.2020-2944"},{"key":"29_CR10","doi-asserted-by":"crossref","unstructured":"Hershey, J.R., Olsen, P.A.: Approximating the kullback leibler divergence between gaussian mixture models. In: IEEE International Conference on Acoustics, Speech and Signal Processing, vol. 4, pp. IV\u2013317 (2007)","DOI":"10.1109\/ICASSP.2007.366913"},{"key":"29_CR11","unstructured":"Hosseini, H., Yun, S., Park, H., Louizos, C., Soriaga, J., Welling, M.: Federated learning of user authentication models. arXiv preprint arXiv:2007.04618 (2020)"},{"key":"29_CR12","doi-asserted-by":"crossref","unstructured":"Jiang, D., et al.: Federated topic modeling. In: Proceedings of the 28th ACM International Conference on Information and Knowledge Management, pp. 1071\u20131080 (2019)","DOI":"10.1145\/3357384.3357909"},{"issue":"1","key":"29_CR13","doi-asserted-by":"publisher","first-page":"565","DOI":"10.1515\/jisys-2017-0047","volume":"29","author":"TRJ Kumari","year":"2020","unstructured":"Kumari, T.R.J., Jayanna, H.S.: i-vector-based speaker verification on limited data using fusion techniques. J. Intell. Syst. 29(1), 565\u2013582 (2020)","journal-title":"J. Intell. Syst."},{"key":"29_CR14","doi-asserted-by":"crossref","unstructured":"Lei, Y., Scheffer, N., Ferrer, L., McLaren, M.: A novel scheme for speaker recognition using a phonetically-aware deep neural network. In: IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 1695\u20131699 (2014)","DOI":"10.21236\/ADA613971"},{"key":"29_CR15","doi-asserted-by":"crossref","unstructured":"Leroy, D., Coucke, A., Lavril, T., Gisselbrecht, T., Dureau, J.: Federated learning for keyword spotting. In: ICASSP 2019\u20132019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 6341\u20136345 (2019)","DOI":"10.1109\/ICASSP.2019.8683546"},{"issue":"6","key":"29_CR16","doi-asserted-by":"publisher","first-page":"1129","DOI":"10.1109\/TASLP.2016.2544660","volume":"24","author":"L Li","year":"2016","unstructured":"Li, L., Wang, D., Zhang, C., Zheng, T.F.: Improving short utterance speaker recognition by modeling speech unit classes. IEEE\/ACM Trans. Audio Speech Lang. Process. 24(6), 1129\u20131139 (2016)","journal-title":"IEEE\/ACM Trans. Audio Speech Lang. Process."},{"key":"29_CR17","doi-asserted-by":"crossref","unstructured":"Liu, Y., et al.: FedVision: an online visual object detection platform powered by federated learning. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 34, pp. 13172\u201313179 (2020)","DOI":"10.1609\/aaai.v34i08.7021"},{"issue":"4","key":"29_CR18","doi-asserted-by":"publisher","first-page":"70","DOI":"10.1109\/MIS.2020.2988525","volume":"35","author":"Y Liu","year":"2020","unstructured":"Liu, Y., Kang, Y., Xing, C., Chen, T., Yang, Q.: A secure federated transfer learning framework. IEEE Intell. Syst. 35(4), 70\u201382 (2020)","journal-title":"IEEE Intell. Syst."},{"issue":"2","key":"29_CR19","doi-asserted-by":"publisher","first-page":"397","DOI":"10.1109\/TASL.2012.2215602","volume":"21","author":"MA Pathak","year":"2012","unstructured":"Pathak, M.A., Raj, B.: Privacy-preserving speaker verification and identification using gaussian mixture models. IEEE Trans. Audio Speech Lang. Process. 21(2), 397\u2013406 (2012)","journal-title":"IEEE Trans. Audio Speech Lang. Process."},{"key":"29_CR20","doi-asserted-by":"crossref","unstructured":"Pathak, M.A., Raj, B.: Privacy-preserving speaker verification as password matching. In: IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 1849\u20131852 (2012)","DOI":"10.1109\/ICASSP.2012.6288262"},{"issue":"3","key":"29_CR21","doi-asserted-by":"publisher","first-page":"496","DOI":"10.1109\/TASLP.2018.2882731","volume":"27","author":"Y Rahulamathavan","year":"2019","unstructured":"Rahulamathavan, Y., Sutharsini, K.R., Ray, I.G., Lu, R., Rajarajan, M.: Privacy-preserving ivector-based speaker verification. IEEE\/ACM Trans. Audio Speech Lang. Process. 27(3), 496\u2013506 (2019)","journal-title":"IEEE\/ACM Trans. Audio Speech Lang. Process."},{"issue":"1\u20133","key":"29_CR22","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1006\/dspr.1999.0361","volume":"10","author":"DA Reynolds","year":"2000","unstructured":"Reynolds, D.A., Quatieri, T.F., Dunn, R.B.: Speaker verification using adapted gaussian mixture models. Digital Signal Process. 10(1\u20133), 19\u201341 (2000)","journal-title":"Digital Signal Process."},{"issue":"1","key":"29_CR23","doi-asserted-by":"publisher","first-page":"72","DOI":"10.1109\/89.365379","volume":"3","author":"DA Reynolds","year":"1995","unstructured":"Reynolds, D.A., Rose, R.C.: Robust text-independent speaker identification using gaussian mixture speaker models. IEEE Trans. Speech Audio Process. 3(1), 72\u201383 (1995)","journal-title":"IEEE Trans. Speech Audio Process."},{"issue":"1","key":"29_CR24","first-page":"221","volume":"72","author":"WG Voss","year":"2016","unstructured":"Voss, W.G.: European union data privacy law reform: general data protection regulation, privacy shield, and the right to delisting. Bus. Lawyer 72(1), 221\u2013234 (2016)","journal-title":"Bus. Lawyer"},{"key":"29_CR25","doi-asserted-by":"crossref","unstructured":"Wang, J., Wang, D., Wu, X., Zheng, T.F., Tejedor, J.: Sequential model adaptation for speaker verification. In: 14th Annual Conference of the International Speech Communication Association, pp. 2460\u20132464 (2013)","DOI":"10.21437\/Interspeech.2013-410"},{"key":"29_CR26","volume-title":"Integer and Combinatorial Optimization","author":"LA Wolsey","year":"1999","unstructured":"Wolsey, L.A., Nemhauser, G.L.: Integer and Combinatorial Optimization, vol. 55. Wiley, Hoboken (1999)"},{"key":"29_CR27","doi-asserted-by":"publisher","first-page":"130","DOI":"10.1016\/j.specom.2014.10.005","volume":"66","author":"Z Wu","year":"2015","unstructured":"Wu, Z., Evans, N., Kinnunen, T., Yamagishi, J., Alegre, F., Li, H.: Spoofing and countermeasures for speaker verification: a survey. Speech Commun. 66, 130\u2013153 (2015)","journal-title":"Speech Commun."},{"issue":"4","key":"29_CR28","doi-asserted-by":"publisher","first-page":"588","DOI":"10.1109\/JSTSP.2017.2671435","volume":"11","author":"Z Wu","year":"2017","unstructured":"Wu, Z., et al.: ASVspoof: the automatic speaker verification spoofing and countermeasures challenge. IEEE J. Sel. Top. Signal Process. 11(4), 588\u2013604 (2017)","journal-title":"IEEE J. Sel. Top. Signal Process."},{"issue":"2","key":"29_CR29","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3298981","volume":"10","author":"Q Yang","year":"2019","unstructured":"Yang, Q., Liu, Y., Chen, T., Tong, Y.: Federated machine learning: concept and applications. ACM Trans. Intell. Syst. Technol. 10(2), 1\u201319 (2019)","journal-title":"ACM Trans. Intell. Syst. Technol."},{"key":"29_CR30","unstructured":"Zhu, L., Liu, Z., Han, S.: Deep leakage from gradients. In: Advances in Neural Information Processing Systems, pp. 14774\u201314784 (2019)"}],"container-title":["Lecture Notes in Computer Science","Algorithms and Architectures for Parallel Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-95391-1_29","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,19]],"date-time":"2024-09-19T00:17:28Z","timestamp":1726705048000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-95391-1_29"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783030953904","9783030953911"],"references-count":30,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-95391-1_29","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"23 February 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICA3PP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Algorithms and Architectures for Parallel Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 December 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 December 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ica3pp2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/nsclab.org\/ica3pp2021\/index.html","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":"403","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":"145","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":"36% - 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":"3.12","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":"2.27","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)"}}]}}