{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,28]],"date-time":"2026-08-28T05:21:32Z","timestamp":1787894492490,"version":"build-2784847793"},"reference-count":47,"publisher":"IEEE","license":[{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,7]]},"DOI":"10.1109\/csf68417.2026.00009","type":"proceedings-article","created":{"date-parts":[[2026,8,27]],"date-time":"2026-08-27T19:06:19Z","timestamp":1787857579000},"page":"124-141","source":"Crossref","is-referenced-by-count":0,"title":["Interpreting Differential Privacy in Terms of Disclosure Risk"],"prefix":"10.1109","author":[{"given":"Zeki","family":"Kazan","sequence":"first","affiliation":[{"name":"Duke University","place":["Durham, NC, USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sagar","family":"Sharma","sequence":"additional","affiliation":[{"name":"Duke University","place":["Durham, NC, USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wanrong","family":"Zhang","sequence":"additional","affiliation":[{"name":"Duke University","place":["Durham, NC, USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bo","family":"Jiang","sequence":"additional","affiliation":[{"name":"Duke University","place":["Durham, NC, USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qiang","family":"Yan","sequence":"additional","affiliation":[{"name":"Duke University","place":["Durham, NC, USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","volume-title":"Google covid-19 community mobility reports: Anonymization process description (version 1.1)","author":"Aktay","year":"2020"},{"key":"ref2","volume-title":"Protecting privacy in facebook mobility data during the covid-19 response","author":"Herda\u011fdelen","year":"2020"},{"key":"ref3","volume-title":"Privacy loss in apple\u2019s implementation of differential privacy on macos 10.12","author":"Tang","year":"2017"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1162\/99608f92.529e3cb9"},{"key":"ref5","volume-title":"Illuminating college outcomes - tumult labs","author":"Labs","year":"2023"},{"key":"ref6","volume-title":"Differential privacy","year":"2022"},{"key":"ref7","volume-title":"Publishing wikipedia usage data with strong privacy guarantees","author":"Adeleye","year":"2023"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/11681878_14"},{"key":"ref9","volume-title":"Composition of differential privacy & privacy amplification by subsampling","author":"Steinke","year":"2022"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1561\/9781601988195"},{"key":"ref11","volume-title":"A programming framework for opendp","author":"Gaboardi","year":"2020"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.52202\/079017-2869"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-24861-0_22"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/2514689"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.2139\/ssrn.3338027"},{"key":"ref16","first-page":"1613","article-title":"What are the chances? explaining the epsilon parameter in differential privacy","volume-title":"32nd USENIX Security Symposium (USENIX Security 23)","author":"Nanayakkara"},{"key":"ref17","volume-title":"U.s. broadband coverage data set: A differentially private data release","author":"Pereira","year":"2021"},{"key":"ref18","volume-title":"Facebook Privacy-Protected Full URLs Data Set","author":"Messing","year":"2020"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-021-27567-z"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/11761679_29"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2008.4497436"},{"issue":"1","key":"ref22","first-page":"5","article-title":"An axiomatic view of statistical privacy and utility","volume-title":"Journal of Privacy and Confidentiality","volume":"4","author":"Kifer"},{"key":"ref23","volume-title":"Approximate and probabilistic differential privacy definitions","author":"Meiser","year":"2018"},{"key":"ref24","volume-title":"Reviewing and improving the gaussian mechanism for differential privacy","author":"Zhao","year":"2019"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-53641-4_24"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/FOCS.2010.12"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-49096-9_7"},{"key":"ref28","first-page":"1376","article-title":"The composition theorem for differential privacy","volume-title":"Proceedings of the 32nd International Conference on Machine Learning, ser. Proceedings of Machine Learning Research","volume":"37","author":"Kairouz"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1136\/amiajnl-2012-001047"},{"issue":"1","key":"ref30","first-page":"1","article-title":"On the \u2018semantics\u2019 of differential privacy: A bayesian formulation","volume-title":"Journal of Privacy and Confidentiality","volume":"6","author":"Kasiviswanathan"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-87471-3_20"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/VizSec53666.2021.00008"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CSF54842.2022.9919656"},{"key":"ref34","volume-title":"Bayesian and frequentist semantics for common variations of differential privacy: Applications to the 2020 census","author":"Kifer","year":"2022"},{"issue":"3","key":"ref35","first-page":"535","article-title":"Differential privacy and statistical disclosure risk measures: An investigation with binary synthetic data","volume":"5","author":"McClure","year":"2012","journal-title":"Transactions on Data Privacy"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.5705\/ss.202022.0187"},{"key":"ref37","volume-title":"Designing access with differential privacy","author":"Wood","year":"2020"},{"key":"ref38","volume-title":"Attaxonomy: Unpacking differential privacy guarantees against practical adversaries","author":"Cummings","year":"2024"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.2104906119"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/3460120.3485252"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/3548606.3560693"},{"key":"ref42","volume-title":"Sok: Usability studies in differential privacy","author":"Dibia","year":"2024"},{"key":"ref43","first-page":"4782","article-title":"Optimal accounting of differential privacy via characteristic function","volume-title":"Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, ser. Proceedings of Machine Learning Research","volume":"151","author":"Zhu"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1145\/2976749.2978318"},{"key":"ref45","volume-title":"From differential privacy to bounds on membership inference: Less can be more","author":"Thudi","year":"2024"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.2307\/2287959"},{"key":"ref47","first-page":"15 676","article-title":"The discrete gaussian for differential privacy","volume":"33","author":"Canonne","year":"2020","journal-title":"Advances in Neural Information Processing Systems"}],"event":{"name":"2026 IEEE 39th Computer Security Foundations Symposium (CSF)","location":"Lisboa, Portugal","start":{"date-parts":[[2026,7,26]]},"end":{"date-parts":[[2026,7,29]]}},"container-title":["2026 IEEE 39th Computer Security Foundations Symposium (CSF)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11662133\/11662295\/11662326.pdf?arnumber=11662326","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,28]],"date-time":"2026-08-28T05:00:44Z","timestamp":1787893244000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11662326\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7]]},"references-count":47,"URL":"https:\/\/doi.org\/10.1109\/csf68417.2026.00009","relation":{},"subject":[],"published":{"date-parts":[[2026,7]]}}}