{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T21:39:00Z","timestamp":1743025140652,"version":"3.40.3"},"publisher-location":"Cham","reference-count":27,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030620073"},{"type":"electronic","value":"9783030620080"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-62008-0_13","type":"book-chapter","created":{"date-parts":[[2020,10,20]],"date-time":"2020-10-20T05:03:03Z","timestamp":1603170183000},"page":"185-200","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Privacy-Preserving Data Generation and Sharing Using Identification Sanitizer"],"prefix":"10.1007","author":[{"given":"Shuo","family":"Wang","sequence":"first","affiliation":[]},{"given":"Lingjuan","family":"Lyu","sequence":"additional","affiliation":[]},{"given":"Tianle","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Shangyu","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Surya","family":"Nepal","sequence":"additional","affiliation":[]},{"given":"Carsten","family":"Rudolph","sequence":"additional","affiliation":[]},{"given":"Marthie","family":"Grobler","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,10,21]]},"reference":[{"key":"13_CR1","doi-asserted-by":"crossref","unstructured":"Abadi, M., et al.: Deep learning with differential privacy. In: Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security, pp. 308\u2013318. ACM (2016)","DOI":"10.1145\/2976749.2978318"},{"issue":"2","key":"13_CR2","first-page":"213","volume":"16","author":"SN Abdulkader","year":"2015","unstructured":"Abdulkader, S.N., Atia, A., Mostafa, M.S.M.: Brain computer interfacing: applications and challenges. Egypt. Inf. J. 16(2), 213\u2013230 (2015)","journal-title":"Egypt. Inf. J."},{"key":"13_CR3","doi-asserted-by":"publisher","first-page":"76007","DOI":"10.1109\/ACCESS.2018.2881470","volume":"6","author":"ZAA Alyasseri","year":"2018","unstructured":"Alyasseri, Z.A.A., Khader, A.T., Al-Betar, M.A., Papa, J.P., Alomari, O.A.: Eeg feature extraction for person identification using wavelet decomposition and multi-objective flower pollination algorithm. IEEE Access 6, 76007\u201376024 (2018)","journal-title":"IEEE Access"},{"key":"13_CR4","unstructured":"Arjovsky, M., Chintala, S., Bottou, L.: Wasserstein gan. arXiv preprint arXiv:1701.07875 (2017)"},{"key":"13_CR5","doi-asserted-by":"crossref","unstructured":"Beaulieu-Jones, B.K., Wu, Z.S., Williams, C., Greene, C.S.: Privacy-preserving generative deep neural networks support clinical data sharing. BioRxiv, p. 159756 (2017)","DOI":"10.1101\/159756"},{"key":"13_CR6","unstructured":"Chen, X., Duan, Y., Houthooft, R., Schulman, J., Sutskever, I., Abbeel, P.: Infogan: interpretable representation learning by information maximizing generative adversarial nets. In: Advances in Neural Information Processing Systems, pp. 2172\u20132180 (2016)"},{"key":"13_CR7","doi-asserted-by":"crossref","unstructured":"Cynthia, D.: Differential privacy. Automata, languages and programming, pp. 1\u201312 (2006)","DOI":"10.1007\/11787006_1"},{"key":"13_CR8","unstructured":"Esteban, C., Hyland, S.L., R\u00e4tsch, G.: Real-valued (medical) time series generation with recurrent conditional gans. arXiv preprint arXiv:1706.02633 (2017)"},{"key":"13_CR9","doi-asserted-by":"crossref","unstructured":"Garofolo, J.S., Lamel, L.F., Fisher, W.M., Fiscus, J.G., Pallett, D.S.: Darpa timit acoustic-phonetic continous speech corpus cd-rom. nist speech disc 1\u20131.1. NASA STI\/Recon technical report n 93 (1993)","DOI":"10.6028\/NIST.IR.4930"},{"key":"13_CR10","doi-asserted-by":"crossref","unstructured":"Gatys, L.A., Ecker, A.S., Bethge, M.: A neural algorithm of artistic style. arXiv preprint arXiv:1508.06576 (2015)","DOI":"10.1167\/16.12.326"},{"issue":"23","key":"13_CR11","doi-asserted-by":"publisher","first-page":"e215","DOI":"10.1161\/01.CIR.101.23.e215","volume":"101","author":"AL Goldberger","year":"2000","unstructured":"Goldberger, A.L., et al.: Physiobank, physiotoolkit, and physionet: components of a new research resource for complex physiologic signals. Circulation 101(23), e215\u2013e220 (2000)","journal-title":"Circulation"},{"key":"13_CR12","unstructured":"Guibas, J.T., Virdi, T.S., Li, P.S.: Synthetic medical images from dual generative adversarial networks. arXiv preprint arXiv:1709.01872 (2017)"},{"key":"13_CR13","unstructured":"Kingma, D.P., Welling, M.: Auto-encoding variational bayes. arXiv preprint arXiv:1312.6114 (2013)"},{"issue":"1","key":"13_CR14","first-page":"2","volume":"4","author":"P Kumari","year":"2014","unstructured":"Kumari, P., Vaish, A.: Brainwave based authentication system: research issues and challenges. Int. J. Comput. Eng. Appl. 4(1), 2 (2014)","journal-title":"Int. J. Comput. Eng. Appl."},{"key":"13_CR15","unstructured":"Larsen, A.B.L., S\u00f8nderby, S.K., Larochelle, H., Winther, O.: Autoencoding beyond pixels using a learned similarity metric. arXiv preprint arXiv:1512.09300 (2015)"},{"key":"13_CR16","unstructured":"Li, Y., Swersky, K., Zemel, R.: Generative moment matching networks. In: International Conference on Machine Learning, pp. 1718\u20131727 (2015)"},{"key":"13_CR17","doi-asserted-by":"crossref","unstructured":"Liu, Z., Luo, P., Wang, X., Tang, X.: Deep learning face attributes in the wild. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 3730\u20133738 (2015)","DOI":"10.1109\/ICCV.2015.425"},{"issue":"11","key":"13_CR18","doi-asserted-by":"publisher","first-page":"2524","DOI":"10.1109\/TPDS.2020.2996273","volume":"31","author":"L Lyu","year":"2020","unstructured":"Lyu, L., et al.: Towards fair and privacy-preserving federated deep models. IEEE Trans. Parallel Distrib. Syst. 31(11), 2524\u20132541 (2020)","journal-title":"IEEE Trans. Parallel Distrib. Syst."},{"key":"13_CR19","unstructured":"Makhzani, A., Shlens, J., Jaitly, N., Goodfellow, I., Frey, B.: Adversarial autoencoders. arXiv preprint arXiv:1511.05644 (2015)"},{"key":"13_CR20","unstructured":"Mescheder, L., Nowozin, S., Geiger, A.: Adversarial variational bayes: unifying variational autoencoders and generative adversarial networks. arXiv preprint arXiv:1701.04722 (2017)"},{"key":"13_CR21","unstructured":"Salimans, T., Goodfellow, I., Zaremba, W., Cheung, V., Radford, A., Chen, X.: Improved techniques for training gans. In: Advances in Neural Information Processing Systems, pp. 2234\u20132242 (2016)"},{"issue":"11","key":"13_CR22","doi-asserted-by":"publisher","first-page":"5391","DOI":"10.1002\/hbm.23730","volume":"38","author":"RT Schirrmeister","year":"2017","unstructured":"Schirrmeister, R.T., et al.: Deep learning with convolutional neural networks for EEG decoding and visualization. Hum. Brain Mapp. 38(11), 5391\u20135420 (2017)","journal-title":"Hum. Brain Mapp."},{"key":"13_CR23","doi-asserted-by":"crossref","unstructured":"Shokri, R., Stronati, M., Song, C., Shmatikov, V.: Membership inference attacks against machine learning models. In: 2017 IEEE Symposium on Security and Privacy (SP), pp. 3\u201318. IEEE (2017)","DOI":"10.1109\/SP.2017.41"},{"key":"13_CR24","doi-asserted-by":"crossref","unstructured":"Song, S., Chaudhuri, K., Sarwate, A.D.: Stochastic gradient descent with differentially private updates. In: 2013 IEEE Global Conference on Signal and Information Processing (GlobalSIP), pp. 245\u2013248. IEEE (2013)","DOI":"10.1109\/GlobalSIP.2013.6736861"},{"key":"13_CR25","unstructured":"Xie, L., Lin, K., Wang, S., Wang, F., Zhou, J.: Differentially private generative adversarial network. arXiv preprint arXiv:1802.06739 (2018)"},{"key":"13_CR26","unstructured":"Zhang, X., Ji, S., Wang, T.: Differentially private releasing via deep generative model. arXiv preprint arXiv:1801.01594 (2018)"},{"issue":"4","key":"13_CR27","doi-asserted-by":"publisher","first-page":"351","DOI":"10.1016\/0167-6393(90)90010-7","volume":"9","author":"V Zue","year":"1990","unstructured":"Zue, V., Seneff, S., Glass, J.: Speech database development at mit: Timit and beyond. Speech Commun. 9(4), 351\u2013356 (1990)","journal-title":"Speech Commun."}],"container-title":["Lecture Notes in Computer Science","Web Information Systems Engineering \u2013 WISE 2020"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-62008-0_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,12,15]],"date-time":"2020-12-15T11:30:41Z","timestamp":1608031841000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-62008-0_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030620073","9783030620080"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-62008-0_13","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"21 October 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"WISE","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Web Information Systems Engineering","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Amsterdam","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"The Netherlands","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 October 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 October 2020","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":"wise2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/wasp.cs.vu.nl\/WISE2020\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}