{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,25]],"date-time":"2026-06-25T16:27:39Z","timestamp":1782404859509,"version":"3.54.5"},"publisher-location":"Cham","reference-count":25,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030960568","type":"print"},{"value":"9783030960575","type":"electronic"}],"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\/978-3-030-96057-5_3","type":"book-chapter","created":{"date-parts":[[2022,2,9]],"date-time":"2022-02-09T05:03:05Z","timestamp":1644382985000},"page":"33-44","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Differential Privacy in\u00a0Privacy-Preserving Big Data and\u00a0Learning: Challenge and\u00a0Opportunity"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6014-0396","authenticated-orcid":false,"given":"Honglu","family":"Jiang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0629-050X","authenticated-orcid":false,"given":"Yifeng","family":"Gao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0772-8064","authenticated-orcid":false,"given":"S. M.","family":"Sarwar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9482-709X","authenticated-orcid":false,"given":"Luis","family":"GarzaPerez","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3157-2189","authenticated-orcid":false,"given":"Mahmudul","family":"Robin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,2,10]]},"reference":[{"key":"3_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 (2016)","DOI":"10.1145\/2976749.2978318"},{"issue":"7","key":"3_CR2","doi-asserted-by":"publisher","first-page":"5827","DOI":"10.1109\/JIOT.2019.2952146","volume":"7","author":"PCM Arachchige","year":"2019","unstructured":"Arachchige, P.C.M., Bertok, P., Khalil, I., Liu, D., Camtepe, S., Atiquzzaman, M.: Local differential privacy for deep learning. IEEE Internet Things J. 7(7), 5827\u20135842 (2019)","journal-title":"IEEE Internet Things J."},{"issue":"7","key":"3_CR3","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0130140","volume":"10","author":"S Bach","year":"2015","unstructured":"Bach, S., Binder, A., Montavon, G., Klauschen, F., M\u00fcller, K.R., Samek, W.: On pixel-wise explanations for non-linear classifier decisions by layer-wise relevance propagation. PLoS ONE 10(7), e0130140 (2015)","journal-title":"PLoS ONE"},{"key":"3_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/11787006_1","volume-title":"Automata, Languages and Programming","author":"C Dwork","year":"2006","unstructured":"Dwork, C.: Differential privacy. In: Bugliesi, M., Preneel, B., Sassone, V., Wegener, I. (eds.) ICALP 2006. LNCS, vol. 4052, pp. 1\u201312. Springer, Heidelberg (2006). https:\/\/doi.org\/10.1007\/11787006_1"},{"key":"3_CR5","unstructured":"D\u2019Acquisto, G., Domingo-Ferrer, J., Kikiras, P., Torra, V., de Montjoye, Y.A., Bourka, A.: Privacy by design in big data: an overview of privacy enhancing technologies in the era of big data analytics. arXiv preprint arXiv:1512.06000 (2015)"},{"key":"3_CR6","unstructured":"Dalenius, T.: Towards a methodology for statistical disclosure control. statistik Tidskrift 15(429\u2013444), 2\u20131 (1977)"},{"key":"3_CR7","doi-asserted-by":"crossref","unstructured":"Duchi, J.C., Jordan, M.I., Wainwright, M.J.: Local privacy and statistical minimax rates. In: 2013 IEEE 54th Annual Symposium on Foundations of Computer Science, pp. 429\u2013438. IEEE (2013)","DOI":"10.1109\/FOCS.2013.53"},{"key":"3_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"265","DOI":"10.1007\/11681878_14","volume-title":"Theory of Cryptography","author":"C Dwork","year":"2006","unstructured":"Dwork, C., McSherry, F., Nissim, K., Smith, A.: Calibrating noise to sensitivity in private data analysis. In: Halevi, S., Rabin, T. (eds.) TCC 2006. LNCS, vol. 3876, pp. 265\u2013284. Springer, Heidelberg (2006). https:\/\/doi.org\/10.1007\/11681878_14"},{"key":"3_CR9","unstructured":"Geyer, R.C., Klein, T., Nabi, M.: Differentially private federated learning: a client level perspective. arXiv preprint arXiv:1712.07557 (2017)"},{"issue":"2","key":"3_CR10","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2594455","volume":"5","author":"NZ Gong","year":"2014","unstructured":"Gong, N.Z., et al.: Joint link prediction and attribute inference using a social-attribute network. ACM Trans. Intell. Syst. Technol. (TIST) 5(2), 1\u201320 (2014)","journal-title":"ACM Trans. Intell. Syst. Technol. (TIST)"},{"key":"3_CR11","doi-asserted-by":"crossref","unstructured":"Ji, S., Li, W., Gong, N.Z., Mittal, P., Beyah, R.A.: On your social network de-anonymizablity: quantification and large scale evaluation with seed knowledge. In: NDSS (2015)","DOI":"10.14722\/ndss.2015.23096"},{"key":"3_CR12","doi-asserted-by":"crossref","unstructured":"Ji, S., Wang, T., Chen, J., Li, W., Mittal, P., Beyah, R.: De-SAG: on the de-anonymization of structure-attribute graph data. IEEE Trans. Dependable Secure Comput. 16, 594\u2013607 (2017)","DOI":"10.1109\/TDSC.2017.2712150"},{"key":"3_CR13","doi-asserted-by":"crossref","unstructured":"Jiang, H., Pei, J., Yu, D., Yu, J., Gong, B., Cheng, X.: Applications of differential privacy in social network analysis: a survey. IEEE Trans. Knowl. Data Eng. (2021)","DOI":"10.1109\/TKDE.2021.3073062"},{"key":"3_CR14","doi-asserted-by":"crossref","unstructured":"Jiang, H., Yu, J., Cheng, X., Zhang, C., Gong, B., Yu, H.: Structure-attribute-based social network deanonymization with spectral graph partitioning. IEEE Trans. Comput. Soc. Syst. (2021)","DOI":"10.1109\/TCSS.2021.3082901"},{"key":"3_CR15","doi-asserted-by":"publisher","first-page":"358","DOI":"10.1016\/j.procs.2018.03.089","volume":"129","author":"H Jiang","year":"2018","unstructured":"Jiang, H., Yu, J., Hu, C., Zhang, C., Cheng, X.: Sa framework based de-anonymization of social networks. Procedia Comput. Sci. 129, 358\u2013363 (2018)","journal-title":"Procedia Comput. Sci."},{"key":"3_CR16","doi-asserted-by":"crossref","unstructured":"Labitzke, S., Werling, F., Mittag, J., Hartenstein, H.: Do online social network friends still threaten my privacy? In: Proceedings of the Third ACM Conference on Data and Application Security and Privacy, pp. 13\u201324 (2013)","DOI":"10.1145\/2435349.2435352"},{"key":"3_CR17","doi-asserted-by":"crossref","unstructured":"Lecuyer, M., Atlidakis, V., Geambasu, R., Hsu, D., Jana, S.: Certified robustness to adversarial examples with differential privacy. In: 2019 IEEE Symposium on Security and Privacy (SP), pp. 656\u2013672. IEEE (2019)","DOI":"10.1109\/SP.2019.00044"},{"key":"3_CR18","doi-asserted-by":"crossref","unstructured":"Li, N., Li, T., Venkatasubramanian, S.: t-Closeness: privacy beyond k-anonymity and l-diversity. In: 2007 IEEE 23rd International Conference on Data Engineering, pp. 106\u2013115. IEEE (2007)","DOI":"10.1109\/ICDE.2007.367856"},{"key":"3_CR19","doi-asserted-by":"crossref","unstructured":"Li, N., Qardaji, W., Su, D.: On sampling, anonymization, and differential privacy or, k-anonymization meets differential privacy. In: Proceedings of the 7th ACM Symposium on Information, Computer and Communications Security, pp. 32\u201333 (2012)","DOI":"10.1145\/2414456.2414474"},{"key":"3_CR20","doi-asserted-by":"crossref","unstructured":"Machanavajjhala, A., Kifer, D., Gehrke, J., Venkitasubramaniam, M.: l-diversity: privacy beyond k-anonymity. ACM Trans. Knowl. Discovery Data (TKDD) 1(1), 3-es (2007)","DOI":"10.1145\/1217299.1217302"},{"key":"3_CR21","doi-asserted-by":"crossref","unstructured":"McSherry, F., Talwar, K.: Mechanism design via differential privacy. In: 48th Annual IEEE Symposium on Foundations of Computer Science (FOCS 2007), pp. 94\u2013103. IEEE (2007)","DOI":"10.1109\/FOCS.2007.66"},{"key":"3_CR22","doi-asserted-by":"crossref","unstructured":"Phan, N., Wu, X., Hu, H., Dou, D.: Adaptive Laplace mechanism: differential privacy preservation in deep learning. In: 2017 IEEE International Conference on Data Mining (ICDM), pp. 385\u2013394. IEEE (2017)","DOI":"10.1109\/ICDM.2017.48"},{"key":"3_CR23","doi-asserted-by":"crossref","unstructured":"Shirani, F., Garg, S., Erkip, E.: Optimal active social network de-anonymization using information thresholds. In: 2018 IEEE International Symposium on Information Theory (ISIT), pp. 1445\u20131449. IEEE (2018)","DOI":"10.1109\/ISIT.2018.8437739"},{"key":"3_CR24","doi-asserted-by":"publisher","first-page":"3454","DOI":"10.1109\/TIFS.2020.2988575","volume":"15","author":"K Wei","year":"2020","unstructured":"Wei, K., et al.: Federated learning with differential privacy: algorithms and performance analysis. IEEE Trans. Inf. Forensics Secur. 15, 3454\u20133469 (2020)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"3_CR25","unstructured":"Wei, W., Liu, L., Loper, M., Chow, K.H., Gursoy, M.E., Truex, S., Wu, Y.: A framework for evaluating gradient leakage attacks in federated learning. arXiv preprint arXiv:2004.10397 (2020)"}],"container-title":["Communications in Computer and Information Science","Silicon Valley Cybersecurity Conference"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-96057-5_3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,2,9]],"date-time":"2022-02-09T05:04:16Z","timestamp":1644383056000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-96057-5_3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783030960568","9783030960575"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-96057-5_3","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"value":"1865-0929","type":"print"},{"value":"1865-0937","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"10 February 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"SVCC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Silicon Valley Cybersecurity Conference","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"San Jose, CA","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"USA","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 December 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 December 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"svcc2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/svcc2021.svcsi.org","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-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":"15","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":"9","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":"1","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":"60% - 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","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":"3","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":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}