{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T19:26:12Z","timestamp":1742930772780,"version":"3.40.3"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031319709"},{"type":"electronic","value":"9783031319716"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[[2023]]},"DOI":"10.1007\/978-3-031-31971-6_2","type":"book-chapter","created":{"date-parts":[[2023,5,31]],"date-time":"2023-05-31T05:02:02Z","timestamp":1685509322000},"page":"11-20","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Privacy-Enhancing Technologies and\u00a0Anonymisation in\u00a0Light of\u00a0GDPR and\u00a0Machine Learning"],"prefix":"10.1007","author":[{"given":"Simone","family":"Fischer-H\u00fcbner","sequence":"first","affiliation":[]},{"given":"Marit","family":"Hansen","sequence":"additional","affiliation":[]},{"given":"Jaap-Henk","family":"Hoepman","sequence":"additional","affiliation":[]},{"given":"Meiko","family":"Jensen","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,6,1]]},"reference":[{"key":"2_CR1","unstructured":"Agencia Espa\u00f1ola de Protecci\u00f3n de Datos and European Data Protection Supervisor. 10 misunderstandings related to anonymization (2021). https:\/\/edps.europa.eu\/system\/files\/2021-04\/21-04-27_aepd-edps_anonymisation_en_5.pdf"},{"key":"2_CR2","unstructured":"European Data Protection Board. Guidelines 4\/2019 on article 25. data protection by design and by default (2020). https:\/\/edpb.europa.eu\/our-work-tools\/our-documents\/guidelines\/guidelines-42019-article-25-data-protection-design-and_en"},{"key":"2_CR3","unstructured":"Bruegger, B.P.: Towards a better understanding of identification, pseudonymization, and anonymization (2021). https:\/\/uld-sh.de\/PseudoAnon"},{"issue":"2","key":"2_CR4","doi-asserted-by":"publisher","first-page":"105","DOI":"10.18261\/issn.2387-3299-2017-02-03","volume":"4","author":"L Bygrave","year":"2017","unstructured":"Bygrave, L.: Data protection by design and by default: deciphering the EU\u2019s legislative requirements. Oslo Law Rev. 4(2), 105\u2013120 (2017)","journal-title":"Oslo Law Rev."},{"key":"2_CR5","doi-asserted-by":"publisher","unstructured":"Danezis, G., et al.: Privacy and Data Protection by Design - from policy to engineering. Technical report, ENISA (2014). ISBN 978-92-9204-108-3. https:\/\/doi.org\/10.2824\/38623. https:\/\/www.enisa.europa.eu\/activities\/identity-and-trust\/library\/deliverables\/privacy-and-data-protection-by-design","DOI":"10.2824\/38623"},{"key":"2_CR6","unstructured":"European Data Protection Board. Recommendations 01\/2020 on measures that supplement transfer tools to ensure compliance with the EU level of protection of personal data (2020). https:\/\/edpb.europa.eu\/system\/files\/2021-06\/edpb_recommendations_202001vo.2.0_supplementarymeasurestransferstools_en.pdf"},{"key":"2_CR7","doi-asserted-by":"publisher","unstructured":"Finck, M., Pallas, F.: They who must not be identified-distinguishing personal from non-personal data under the GDPR. Int. Data Privacy Law 10(1), 11\u201336 (2020). https:\/\/doi.org\/10.1093\/idpl\/ipz026. ISSN 2044-3994","DOI":"10.1093\/idpl\/ipz026"},{"key":"2_CR8","series-title":"IFIP Advances in Information and Communication Technology","doi-asserted-by":"publisher","first-page":"446","DOI":"10.1007\/978-3-642-55415-5_38","volume-title":"ICT Systems Security and Privacy Protection","author":"J-H Hoepman","year":"2014","unstructured":"Hoepman, J.-H.: Privacy design strategies. In: Cuppens-Boulahia, N., Cuppens, F., Jajodia, S., Abou El Kalam, A., Sans, T. (eds.) SEC 2014. IAICT, vol. 428, pp. 446\u2013459. Springer, Heidelberg (2014). https:\/\/doi.org\/10.1007\/978-3-642-55415-5_38"},{"key":"2_CR9","unstructured":"Hoepman, J.-H.: Privacy design strategies. The little blue book (2018). https:\/\/www.cs.ru.nl\/jhh\/publications\/pds-booklet.pdf"},{"issue":"2","key":"2_CR10","doi-asserted-by":"publisher","first-page":"168","DOI":"10.21552\/edpl\/2018\/2\/7","volume":"4","author":"L Jasmontaite","year":"2018","unstructured":"Jasmontaite, L., Kamara, I., Zanfir-Fortuna, G., Leucci, S.: Data protection by design and by default: framing guiding principles into legal obligations in the GDPR. Eur. Data Prot. Law Rev. 4(2), 168\u2013189 (2018)","journal-title":"Eur. Data Prot. Law Rev."},{"key":"2_CR11","unstructured":"Karegar, F., Alaqra, A.S., Fischer-H\u00fcbner, S.: Exploring user-suitable metaphors for differentially private data analyses. In: Eighteenth Symposium on Usable Privacy and Security (SOUPS 2022), Boston, MA, pp. 175\u2013193. USENIX Association (2022). https:\/\/www.usenix.org\/conference\/soups2022\/presentation\/karegar. ISBN 978-1-939133-30-4"},{"key":"2_CR12","doi-asserted-by":"crossref","unstructured":"Nanayakkara, P., Bater, J., He, X., Hullman, J., Rogers, J.: Visualizing privacy-utility trade-offs in differentially private data releases. arXiv preprint arXiv:2201.05964 (2022)","DOI":"10.2478\/popets-2022-0058"},{"key":"2_CR13","unstructured":"Pfitzmann, A., Hansen, M.: A terminology for talking about privacy by data minimization: anonymity, unlinkability, undetectability, unobservability, pseudonymity, and identity management, vol. 34 (2010). http:\/\/dud.inf.tu-dresden.de\/literatur\/Anon_Terminology_v0.34.pdf"},{"key":"2_CR14","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":"2_CR15","unstructured":"Stalla-Bourdillon, S., Rossi, A.: Why a good additional technical safeguard is hard to find\u2013a response to the consultation on the EDPB draft recommendations 01\/2020 on measures that supplement transfer tools to ensure compliance with the EU level of protection of personal data (2020). https:\/\/edpb.europa.eu\/sites\/default\/files\/webform\/public_consultation_reply\/response_sto_edpb_recommendations.pdf"},{"key":"2_CR16","unstructured":"Wu, J., Zappala, D.: When is a tree really a truck? Exploring mental models of encryption. In: Fourteenth Symposium on Usable Privacy and Security (SOUPS 2018), pp. 395\u2013409 (2018)"}],"container-title":["IFIP Advances in Information and Communication Technology","Privacy and Identity Management"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-31971-6_2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,5,31]],"date-time":"2023-05-31T05:03:33Z","timestamp":1685509413000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-31971-6_2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031319709","9783031319716"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-31971-6_2","relation":{},"ISSN":["1868-4238","1868-422X"],"issn-type":[{"type":"print","value":"1868-4238"},{"type":"electronic","value":"1868-422X"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"1 June 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"Privacy and Identity","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"IFIP International Summer School on Privacy and Identity Management","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 August 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 September 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"privacy-identity2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ifip-summerschool.github.io\/","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":"23","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":"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":"39% - 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":"2.8","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":"1.5","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":"The proceedings also contain 5 workshop and tutorial 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)"}}]}}