{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,28]],"date-time":"2026-08-28T09:00:54Z","timestamp":1787907654349,"version":"build-2784847793"},"publisher-location":"New York, NY, USA","reference-count":99,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,6,3]],"date-time":"2024-06-03T00:00:00Z","timestamp":1717372800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"EUTOPIA PhD co-tutelle programme 2021 (for Alessandra Calvi)","award":["EUTOPIA-PhD-2021-0000000127 OZRIFTM5"],"award-info":[{"award-number":["EUTOPIA-PhD-2021-0000000127 OZRIFTM5"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,6,3]]},"DOI":"10.1145\/3630106.3659024","type":"proceedings-article","created":{"date-parts":[[2024,6,5]],"date-time":"2024-06-05T13:14:21Z","timestamp":1717593261000},"page":"2047-2059","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":13,"title":["The unfair side of Privacy Enhancing Technologies: addressing the trade-offs between PETs and fairness"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9734-8078","authenticated-orcid":false,"given":"Alessandra","family":"Calvi","sequence":"first","affiliation":[{"name":"LSTS, d.pia.lab, Vrije Universiteit Brussel, Belgium and \rLab. ETIS UMR 8051, CY Cergy Paris University, ENSEA, CNRS, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3495-8471","authenticated-orcid":false,"given":"Gianclaudio","family":"Malgieri","sequence":"additional","affiliation":[{"name":"eLaw - Center for Law and Digital Technologies, Leiden University, Netherlands and \rBrussels Privacy Hub, Belgium"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3678-4092","authenticated-orcid":false,"given":"Dimitris","family":"Kotzinos","sequence":"additional","affiliation":[{"name":"Lab. ETIS UMR 8051 , CY Cergy Paris University, ENSEA, CNRS, France"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2024,6,5]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"Annie Abay Yi Zhou Nathalie Baracaldo Shashank Rajamoni Ebube Chuba and Heiko Ludwig. 2020. Mitigating Bias in Federated Learning. 1\u201316. Retrieved from http:\/\/arxiv.org\/abs\/2012.02447"},{"key":"e_1_3_2_1_2_1","volume-title":"Fighting discrimination and building inclusion - Project Lighthouse","year":"2022","unstructured":"Airbnb. 2022. Fighting discrimination and building inclusion - Project Lighthouse. 2022. Retrieved from https:\/\/www.airbnb.com\/against-discrimination"},{"key":"e_1_3_2_1_3_1","unstructured":"Kaitlin Asrow and Spiro Samonas. 2021. Privacy Enhancing Technologies: Categories Use cases and Considerations. Retrieved from https:\/\/www.frbsf.org\/economic-research\/wp-content\/uploads\/sites\/4\/Privacy-Enhancing-Technologies-Categories-Use-Cases-and-Considerations.pdf"},{"key":"e_1_3_2_1_4_1","unstructured":"Autorit\u00e9 de la concurrence and Commission nationale de l'informatique et des libert\u00e9s (CNIL). 2023. Competition and personal data: a common ambition."},{"key":"e_1_3_2_1_5_1","unstructured":"Maria Badillo. 2023. Navigating Privacy-Enhancing Technologies: Key Takeaways from the Inaugural Meeting of the Global PETs Network. Future of Privacy Forum Blog 1\u20135. Retrieved from https:\/\/fpf.org\/blog\/navigating-privacy-enhancing-technologies-key-takeaways-from-the-inaugural-meeting-of-the-global-pets-network\/"},{"key":"e_1_3_2_1_6_1","volume-title":"Proceedings ofthe 2022 Symposium on Computer Science and Law (CSLAW\u201922)","author":"Balsa Ero","year":"2022","unstructured":"Ero Balsa, Helen Nissenbaum, and Sunoo Park. 2022. Cryptography, Trust and Privacy: It's Complicated. In Proceedings ofthe 2022 Symposium on Computer Science and Law (CSLAW\u201922), 13."},{"key":"e_1_3_2_1_7_1","volume-title":"Data Mining and the Discourse on Discrimination. In Data Ethics Workshop, Conference on Knowledge Discovery and Data Mining, 6.","author":"Barocas Solon","year":"2014","unstructured":"Solon Barocas. 2014. Data Mining and the Discourse on Discrimination. In Data Ethics Workshop, Conference on Knowledge Discovery and Data Mining, 6. Retrieved from https:\/\/pdfs.semanticscholar.org\/abbb\/235fcf3b163afd74e1967f7d3784252b44fa.pdf"},{"key":"e_1_3_2_1_8_1","first-page":"671","article-title":"Big Data's Disparate Impact","volume":"104","author":"Barocas Solon","year":"2016","unstructured":"Solon Barocas and Andrew D. Selbst. 2016. Big Data's Disparate Impact. California Law Review 104, 671 (2016), 671\u2013732.","journal-title":"California Law Review"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.clsr.2022.105770"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1111\/rego.12222"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1712.03586"},{"key":"e_1_3_2_1_12_1","unstructured":"G. W. Van Blarkom John Balking and H. Verhaar. 2003. PET. In Handbook of Privacy and Privacy-Enhancing Technologies - The case of Intelligent Software Agents. 33\u201354."},{"key":"e_1_3_2_1_13_1","unstructured":"Frederik Zuiderveen Borgesius. 2018. Discrimination artificial intelligence and algorithmic decision making. Retrieved from https:\/\/rm.coe.int\/discrimination-artificial-intelligence-and-algorithmic-decision-making\/1680925d73"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/SP40001.2021.00019"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/1401890.1401904"},{"key":"e_1_3_2_1_16_1","volume-title":"Proceedings of Machine Learning Research 81","author":"Buolamwini Joy","year":"2018","unstructured":"Joy Buolamwini and Timnit Gebru. 2018. Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification. Proceedings of Machine Learning Research 81, (2018), 77\u201391."},{"key":"e_1_3_2_1_17_1","unstructured":"Alessandra Calvi. 2021. Differentially private algorithms. Privacy Laws & Business 11\u201312."},{"key":"e_1_3_2_1_18_1","first-page":"1","article-title":"Exploring the Synergies between Non-Discrimination and Data Protection: What Role for EU Data Protection Law to Address Intersectional Discrimination","volume":"14","author":"Calvi Alessandra","year":"2023","unstructured":"Alessandra Calvi. 2023. Exploring the Synergies between Non-Discrimination and Data Protection: What Role for EU Data Protection Law to Address Intersectional Discrimination? European Journal of Law and Technology 14, 2 (2023), 1\u201334.","journal-title":"European Journal of Law and Technology"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/3593013.3594076"},{"key":"e_1_3_2_1_20_1","unstructured":"Alessandra Calvi and Gianclaudio Malgieri. 2021. Federated Learning: a useful privacy-enhancing technique? Privacy Laws & Business International Report 30\u201332."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.119785"},{"key":"e_1_3_2_1_22_1","volume-title":"The Eleventh International Conference on Learning Representations, 1\u201326","author":"Chang Hongyan","year":"2023","unstructured":"Hongyan Chang and Reza Shokri. 2023. Bias propagation in federated learning. In The Eleventh International Conference on Learning Representations, 1\u201326."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3442188.3445879"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","unstructured":"Peter Christen Thilina Ranbaduge and Rainer Schnell. 2020. Linking Sensitive Data. DOI:https:\/\/doi.org\/10.1007\/978-3-030-59706-1","DOI":"10.1007\/978-3-030-59706-1"},{"key":"e_1_3_2_1_25_1","first-page":"35","article-title":"It's Not Privacy, and It's Not Fair","volume":"66","author":"Dwork Cynthia","year":"2013","unstructured":"Cynthia Dwork and Deirdre K. Mulligan. 2013. It's Not Privacy, and It's Not Fair. Stanford Law Review Online 66, 2000 (2013), 35. Retrieved from http:\/\/www.stanfordlawreview.org\/online\/privacy-and-big-data\/its-not-privacy-and-its-not-fair%5Cnhttp:\/\/www.stanfordlawreview.org\/sites\/default\/files\/online\/topics\/DworkMullliganSLR.pdf","journal-title":"Stanford Law Review Online"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"crossref","first-page":"32","DOI":"10.4337\/clj.2021.01.04","article-title":"Algorithms and competition: the latest theory and evidence","volume":"20","author":"Descamps Ambroise","year":"2021","unstructured":"Ambroise Descamps, Timo Klein, and Gareth Shier. 2021. Algorithms and competition: the latest theory and evidence. Competition Law Journal 20, 1 (2021), 32\u201339.","journal-title":"Competition Law Journal"},{"key":"e_1_3_2_1_29_1","unstructured":"Brian Duignan. 2023. Social Justice. Britannica. Retrieved from https:\/\/www.britannica.com\/topic\/social-justice"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.2139\/ssrn.2972855"},{"key":"e_1_3_2_1_31_1","volume-title":"Proceedings of Machine Learning Research, 35\u201347","author":"Ekstrand Michael D.","year":"2018","unstructured":"Michael D. Ekstrand, Rezvan Joshaghani, and Hoda Mehrpouyan. 2018. Privacy for All: Ensuring Fair and Equitable Privacy Protections. In Proceedings of Machine Learning Research, 35\u201347. Retrieved from https:\/\/proceedings.mlr.press\/v81\/ekstrand18a.html"},{"key":"e_1_3_2_1_32_1","volume-title":"Data protection as a pillar of citizens","author":"European Commission","unstructured":"European Commission. 2020. Data protection as a pillar of citizens\u2019 empowerment and the EU's approach to the digital transition - two years of application of the General Data Protection Regulation. 1\u201318."},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"crossref","unstructured":"European Data Protection Board. 2020. Guidelines 4\/2019 on Article 25 Data Protection by Design and by Default v.2.0.","DOI":"10.21552\/edpl\/2018\/2\/7"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-12-803843-7.00053-3"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1017\/s204538171600006x"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/230538.230561"},{"key":"e_1_3_2_1_37_1","unstructured":"Future of Privacy Forum. 2018. The Privacy Expert's Guide To Artificial Intelligence and Machine Learning."},{"key":"e_1_3_2_1_38_1","unstructured":"Gloria Gonz\u00e1lez Fuster Jef Ausloos Damian Bons Lee A Bygrave Barbara Rosa Laura Drechsler Olga Gkotsopoulou Christopher Hristov and Kristina Irion. 2022. The right to lodge a data protection complaint: OK but then what?"},{"key":"e_1_3_2_1_39_1","volume-title":"European Data Protection and the Haunting Presence of Privacy. Nov\u00e1tica","author":"Fuster Gloria Gonz\u00e1lez","year":"2013","unstructured":"Gloria Gonz\u00e1lez Fuster and Bella. 2013. European Data Protection and the Haunting Presence of Privacy. Nov\u00e1tica (2013), 17\u201322."},{"key":"e_1_3_2_1_40_1","unstructured":"Gloria Gonz\u00e1lez Fuster and Hielke Hijmans. 2019. The EU rights to privacy and personal data protection: 20 years in 10 questions."},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"crossref","first-page":"200","DOI":"10.1093\/idpl\/ipy013","article-title":"Fairness and enforcement: bridging competition, data protection, and consumer law","volume":"8","author":"Graef Inge","year":"2018","unstructured":"Inge Graef, Damian Clifford, and Peggy Valcke. 2018. Fairness and enforcement: bridging competition, data protection, and consumer law. International Data Privacy Law 8, 3 (2018), 200\u2013223.","journal-title":"International Data Privacy Law"},{"key":"e_1_3_2_1_42_1","volume-title":"35th International Conference on Machine Learning.","author":"Green Ben","year":"2018","unstructured":"Ben Green and Lily Hu. 2018. The myth in the methodology: Towards a recontextualization of fairness in machine learning. In 35th International Conference on Machine Learning."},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","unstructured":"Xiuting Gu Zhu Tianqing Jie Li Tao Zhang Wei Ren and Kim Kwang Raymond Choo. 2022. Privacy accuracy and model fairness trade-offs in federated learning. Computers and Security 122 (2022) 102907. DOI:https:\/\/doi.org\/10.1016\/j.cose.2022.102907","DOI":"10.1016\/j.cose.2022.102907"},{"key":"e_1_3_2_1_44_1","volume-title":"Amsterdam Privacy Conference, 1\u201321","author":"G\u00fcrses Seda","year":"2015","unstructured":"Seda G\u00fcrses, Carmela Troncoso, and Claudia Diaz. 2015. Engineering privacy by design reloaded. In Amsterdam Privacy Conference, 1\u201321. Retrieved from https:\/\/iapp.org\/resources\/article\/engineering-privacy-by-design-reloaded\/"},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.11117\/rdp.v18i100.6200"},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1145\/3593013.3594086"},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","unstructured":"Christopher Heinz Nigel Wall Alexander H. Wansch and Christoph Grimm. 2020. Privacy GDPR and Homomorphic Encryption. In IoT Platforms Use Cases Privacy and Business Models. 165\u2013184. DOI:https:\/\/doi.org\/https:\/\/doi.org\/10.1007\/978-3-030-45316-9_8","DOI":"10.1007\/978-3-030-45316-9_8"},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2015.05.002"},{"key":"e_1_3_2_1_49_1","volume-title":"29th IFIP International Information Security Con ference (SEC)","author":"Hoepman Jaap-Henk","unstructured":"Jaap-Henk Hoepman. 2014. Privacy Design Strategies. In 29th IFIP International Information Security Con ference (SEC), Springer, 446\u2013459."},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.1080\/1369118X.2019.1573912"},{"key":"e_1_3_2_1_51_1","unstructured":"Information Commissioner's Office. 2022. Chapter 5: Privacy Enhancing Technologies (PETs)."},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.1093\/idpl"},{"key":"e_1_3_2_1_53_1","doi-asserted-by":"publisher","DOI":"10.1145\/3461702.3462528"},{"key":"e_1_3_2_1_54_1","volume-title":"Fairness as Equality of Opportunity: Normative Guidance from Political Philosophy. (June","author":"Khan Falaah Arif","year":"2021","unstructured":"Falaah Arif Khan, Eleni Manis, and Julia Stoyanovich. 2021. Fairness as Equality of Opportunity: Normative Guidance from Political Philosophy. (June 2021). Retrieved from http:\/\/arxiv.org\/abs\/2106.08259"},{"key":"e_1_3_2_1_55_1","volume-title":"Proceedings of the 35th International Conference on Machine Learning, 1\u201310","author":"Kilbertus Niki","year":"2018","unstructured":"Niki Kilbertus, Adria Gascon, Matt Kusner, Michael Veale, Krishna P. Gummandi, and Adrian Weller. 2018. Blind Justice: Fairness with Encrypted Sensitive Attributes. In Proceedings of the 35th International Conference on Machine Learning, 1\u201310."},{"key":"e_1_3_2_1_56_1","first-page":"1","article-title":"Fairness and Explainability in Automatic Decision-Making Systems. A challenge for computer science and law","author":"Kirst Thierry","year":"2022","unstructured":"Thierry Kirst, Olivia Tambou, Virginie Do, and Alexis Tsouki\u00e0s. 2022. Fairness and Explainability in Automatic Decision-Making Systems. A challenge for computer science and law. Cahier du Lamsade 402, May (2022), 1\u201353.","journal-title":"Cahier du Lamsade 402"},{"key":"e_1_3_2_1_57_1","doi-asserted-by":"publisher","DOI":"10.31228\/osf.io"},{"key":"e_1_3_2_1_58_1","doi-asserted-by":"publisher","DOI":"10.46944\/9789461171375.2"},{"key":"e_1_3_2_1_59_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-022-01669-9"},{"key":"e_1_3_2_1_60_1","first-page":"483","article-title":"A typology of privacy","volume":"38","author":"Koops Bert Jaap","year":"2017","unstructured":"Bert Jaap Koops, Bryce Clayton Newell, Tjerk Timan, Ivan \u0160korv\u00e1nek, Tomislav Chokrevski, and Ma\u0161a Gali\u010d. 2017. A typology of privacy. University of Pennsylvania Journal of International Law 38, 2 (2017), 483\u2013575.","journal-title":"University of Pennsylvania Journal of International Law"},{"key":"e_1_3_2_1_61_1","unstructured":"Blagovesta Kostova Seda G\u00fcrses and Carmela Troncoso. 2020. Privacy Engineering Meets Software Engineering. On the Challenges of Engineering Privacy By Design. (2020). Retrieved from http:\/\/arxiv.org\/abs\/2007.08613"},{"key":"e_1_3_2_1_62_1","doi-asserted-by":"publisher","DOI":"10.1145\/3593013.3594103"},{"key":"e_1_3_2_1_63_1","doi-asserted-by":"publisher","DOI":"10.2478\/popets-2022-0023"},{"key":"e_1_3_2_1_64_1","doi-asserted-by":"publisher","DOI":"10.1093\/jeclap"},{"key":"e_1_3_2_1_65_1","first-page":"653","article-title":"Playing with the Data: What Legal Scholars Should Learn About Machine Learning","volume":"51","author":"Lehr David","year":"2017","unstructured":"David Lehr and Paul Ohm. 2017. Playing with the Data: What Legal Scholars Should Learn About Machine Learning. University of California Davis Law Review 51, 653 (2017), 653\u2013717.","journal-title":"University of California Davis Law Review"},{"key":"e_1_3_2_1_66_1","doi-asserted-by":"crossref","first-page":"181336","DOI":"10.1007\/s11704-023-3282-7","article-title":"A survey on federated learning: a perspective from multi-party computation","volume":"18","author":"Liu Fengxia","year":"2024","unstructured":"Fengxia Liu, Zhiming Zheng, Yexuan Shi, Yongxin Tong, and Yi Zhang. 2024. A survey on federated learning: a perspective from multi-party computation. Frontiers in Computer Science 18, 1 (2024), 181336.","journal-title":"Frontiers in Computer Science"},{"key":"e_1_3_2_1_67_1","volume-title":"Rethinking Machine Unlearning for Large Language Models. 2019","author":"Liu Sijia","year":"2024","unstructured":"Sijia Liu, Yuanshun Yao, Jinghan Jia, Stephen Casper, Nathalie Baracaldo, Peter Hase, Xiaojun Xu, Yuguang Yao, Hang Li, Kush R Varshney, Mohit Bansal, Sanmi Koyejo, and Yang Liu. 2024. Rethinking Machine Unlearning for Large Language Models. 2019 (2024), 1\u201315. Retrieved from arxiv:2402.08787v3"},{"key":"e_1_3_2_1_68_1","volume-title":"Beyond Data - Human Rights, Ethical and Social Impact Assessment in AI","author":"Mantelero Alessandro","unstructured":"Alessandro Mantelero. 2022. Beyond Data - Human Rights, Ethical and Social Impact Assessment in AI. Springer."},{"key":"e_1_3_2_1_69_1","first-page":"1","article-title":"Is privacy privacy","volume":"376","author":"Nissim Kobbi","year":"2018","unstructured":"Kobbi Nissim and Alexandra Wood. 2018. Is privacy privacy? Phylosophical Transactions of the Royal Society A 376, 20170358 (2018), 1\u201317.","journal-title":"Phylosophical Transactions of the Royal Society A"},{"key":"e_1_3_2_1_70_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE51399.2021.00265"},{"key":"e_1_3_2_1_71_1","doi-asserted-by":"publisher","unstructured":"David Pujol Ryan McKenna Satya Kuppam Michael Hay Ashwin Machanavajjhala and Gerome Miklau. 2020. Fair decision making using privacy-protected data. In FAT* 2020 - Proceedings of the 2020 Conference on Fairness Accountability and Transparency 189\u2013199. DOI:https:\/\/doi.org\/10.1145\/3351095.3372872","DOI":"10.1145\/3351095.3372872"},{"key":"e_1_3_2_1_72_1","unstructured":"Christian Reimsbach-Kounatze Taylor Reynolds and Clarisse Girot. 2023. Emerging Privacy Enhancing Technologies - Current regulatory and policy approach."},{"key":"e_1_3_2_1_73_1","volume-title":"Elgar Encyclopedia of Law and Data Science, 275\u2013280","author":"Rigotti Carlotta","unstructured":"Carlotta Rigotti and Alessandra Calvi. 2022. Privacy. Elgar Encyclopedia of Law and Data Science, 275\u2013280."},{"key":"e_1_3_2_1_74_1","first-page":"704","article-title":"Anonymization and Risk","volume":"91","author":"Rubinstein Ira","year":"2015","unstructured":"Ira Rubinstein and Woodrow Hartzog. 2015. Anonymization and Risk. Washington Law Review 91, 15 (2015), 704\u2013760.","journal-title":"Washington Law Review"},{"key":"e_1_3_2_1_75_1","doi-asserted-by":"publisher","unstructured":"Stefan Schiffner Bettina Berendt Triin Siil Martin Degeling Robert Riemann Florian Schaub Kim Wuyts Massimo Attoresi Seda G\u00fcrses Achim Klabunde Jules Polonetsky Norman Sadeh and Gabriela Zanfir-Fortuna. 2018. Towards a roadmap for privacy technologies and the general data protection regulation: A transatlantic initiative. In Annual Privacy Forum. DOI:https:\/\/doi.org\/10.1007\/978-3-030-02547-2_2","DOI":"10.1007\/978-3-030-02547-2_2"},{"key":"e_1_3_2_1_76_1","first-page":"117","article-title":"An Institutional view of algorithmic impact assessment","volume":"35","author":"Selbst Andrew D.","year":"2021","unstructured":"Andrew D. Selbst. 2021. An Institutional view of algorithmic impact assessment. Harvard Journal of Law & Technology 35, 1 (2021), 117\u2013191.","journal-title":"Harvard Journal of Law & Technology"},{"key":"e_1_3_2_1_77_1","volume-title":"37th International Conference on Machine Learning","author":"Sloane Mona","year":"2020","unstructured":"Mona Sloane, Emanuel Moss, Olaitan Awomolo, and Laura Forlano. 2020. Participation is not a Design Fix for Machine Learning. In 37th International Conference on Machine Learning, Vienna, 119\u2013125. Retrieved from http:\/\/arxiv.org\/abs\/2007.02423"},{"key":"e_1_3_2_1_78_1","first-page":"83","article-title":"Safe at Home: Towards a Feminist Critique of Cybersecurity","volume":"15","author":"Slupska Julia","year":"2019","unstructured":"Julia Slupska. 2019. Safe at Home: Towards a Feminist Critique of Cybersecurity. St Antony's International Review 15, 1 (2019), 83\u2013100.","journal-title":"St Antony's International Review"},{"key":"e_1_3_2_1_79_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2836184"},{"key":"e_1_3_2_1_80_1","volume-title":"Understanding privacy","author":"Solove Daniel J.","unstructured":"Daniel J. Solove. 2008. Understanding privacy. Harvard University Press."},{"key":"e_1_3_2_1_81_1","first-page":"975","article-title":"The Limitations of Privacy Rights","volume":"98","author":"Solove Daniel J","year":"2023","unstructured":"Daniel J Solove. 2023. The Limitations of Privacy Rights. Notre Dame Law Review 98, 975 (2023), 975\u20131036.","journal-title":"Notre Dame Law Review"},{"key":"e_1_3_2_1_82_1","first-page":"285","article-title":"Anonymous data v. personal data - A false debate: an EU perspective on anonymization, pseudonymization and personal data","volume":"34","author":"Stalla-Bourdillon Sophie","year":"2016","unstructured":"Sophie Stalla-Bourdillon and Alison Knight. 2016. Anonymous data v. personal data - A false debate: an EU perspective on anonymization, pseudonymization and personal data. Wisconsin International Law Journal 34, 2 (2016), 285\u2013322.","journal-title":"Wisconsin International Law Journal"},{"key":"e_1_3_2_1_83_1","doi-asserted-by":"publisher","DOI":"10.1145\/3442188.3445934"},{"key":"e_1_3_2_1_84_1","unstructured":"The Open Data Institute. 2022. Privacy Enhancing Technologies: Market Readiness Enabling and Limiting Factors in the UK public sector. Retrieved from https:\/\/royalsociety.org\/-\/media\/policy\/projects\/privacy-enhancing-technologies\/Privacy-Enhancing-Technologies-Market-Readiness-Enabling-and-Limiting-Factors.pdf"},{"key":"e_1_3_2_1_85_1","doi-asserted-by":"publisher","DOI":"10.1145\/3524107"},{"key":"e_1_3_2_1_86_1","unstructured":"Nicol Turner Lee Paul Resnick and Genie Barton. 2021. Algorithmic bias detection and mitigation: Best practices and policies to reduce consumer harms. Retrieved from https:\/\/www.brookings.edu\/research\/algorithmic-bias-detection-and-mitigation-best-practices-and-policies-to-reduce-consumer-harms\/"},{"key":"e_1_3_2_1_87_1","doi-asserted-by":"crossref","unstructured":"Michael Veale. 2023. Some Commonly-Held but Shaky Assumptions about Data Privacy and Power. In Research Handbook on Competition Law and Data Privacy Maria Ioannidou and Despoina Mantzari (eds.). Edward Elgar.","DOI":"10.31235\/osf.io\/z8tw6"},{"key":"e_1_3_2_1_88_1","volume-title":"Hans-Wolfgang Micklitz and Giuseppe Vettori (eds.)","author":"Veale Michael","unstructured":"Michael Veale. 2023. Rights for Those Who Unwillingly, Unknowingly and Unidentifiably Compute! In The Person and the Future of Private Law, Hans-Wolfgang Micklitz and Giuseppe Vettori (eds.). Hart Publishing. Retrieved from https:\/\/osf.io\/preprints\/socarxiv\/4ugxd\/"},{"key":"e_1_3_2_1_89_1","doi-asserted-by":"publisher","DOI":"10.1093\/idpl"},{"key":"e_1_3_2_1_90_1","doi-asserted-by":"publisher","DOI":"10.2139\/ssrn.3792772"},{"key":"e_1_3_2_1_91_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.clsr.2021.105567"},{"key":"e_1_3_2_1_92_1","unstructured":"Ganghua Wang Ali Payani Myungjin Lee and Ramana Kompella. 2023. Mitigating Group Bias in Federated Learning: Beyond Local Fairness. (2023) 1\u201319. Retrieved from http:\/\/arxiv.org\/abs\/2305.09931"},{"key":"e_1_3_2_1_93_1","doi-asserted-by":"publisher","DOI":"10.1613\/jair.1.13196"},{"key":"e_1_3_2_1_94_1","doi-asserted-by":"publisher","DOI":"10.2307\/4135723"},{"key":"e_1_3_2_1_95_1","unstructured":"Michael Wills. 2022. The Official (ISC)2 SSCP CBK Reference. SYBEX - Wiley."},{"key":"e_1_3_2_1_96_1","doi-asserted-by":"publisher","DOI":"10.1145\/3593013.3594015"},{"key":"e_1_3_2_1_97_1","unstructured":"Hanyu Xue Bo Liu Ming Ding Tianqing Zhu Dayong Ye Li Song and Wanley Zhou. DP-IMAGE: Differential Privacy for Image Data in Feature Space. Retrieved from arxiv:2103.07073v2"},{"key":"e_1_3_2_1_98_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2016.2577036"},{"key":"e_1_3_2_1_99_1","doi-asserted-by":"publisher","DOI":"10.1145\/3490237"}],"event":{"name":"FAccT '24: The 2024 ACM Conference on Fairness, Accountability, and Transparency","location":"Rio de Janeiro Brazil","acronym":"FAccT '24"},"container-title":["The 2024 ACM Conference on Fairness, Accountability, and Transparency"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3630106.3659024","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3630106.3659024","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T23:57:07Z","timestamp":1750291027000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3630106.3659024"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,3]]},"references-count":99,"alternative-id":["10.1145\/3630106.3659024","10.1145\/3630106"],"URL":"https:\/\/doi.org\/10.1145\/3630106.3659024","relation":{},"subject":[],"published":{"date-parts":[[2024,6,3]]},"assertion":[{"value":"2024-06-05","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}