{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T22:36:59Z","timestamp":1765233419226,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":12,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,11,7]],"date-time":"2022-11-07T00:00:00Z","timestamp":1667779200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Deutsche Forschungsgemeinschaft (DFG)","award":["SFB 1119 CROSSING\/236615297 and GRK 2050 Privacy & Trust\/251805230"],"award-info":[{"award-number":["SFB 1119 CROSSING\/236615297 and GRK 2050 Privacy & Trust\/251805230"]}]},{"name":"European Union's Horizon 2020 research and innovation program","award":["850990 PSOTI"],"award-info":[{"award-number":["850990 PSOTI"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,11,7]]},"DOI":"10.1145\/3548606.3563497","type":"proceedings-article","created":{"date-parts":[[2022,11,7]],"date-time":"2022-11-07T11:41:28Z","timestamp":1667821288000},"page":"3351-3353","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Poster"],"prefix":"10.1145","author":[{"given":"Daniel","family":"G\u00fcnther","sequence":"first","affiliation":[{"name":"Technical University of Darmstadt, Darmstadt, Germany"}]},{"given":"Marco","family":"Holz","sequence":"additional","affiliation":[{"name":"Technical University of Darmstadt, Darmstadt, Germany"}]},{"given":"Benjamin","family":"Judkewitz","sequence":"additional","affiliation":[{"name":"Charit\u00e9-Universit\u00e4tsmedizin, Berlin, Germany"}]},{"given":"Helen","family":"M\u00f6llering","sequence":"additional","affiliation":[{"name":"Technical University of Darmstadt, Darmstadt, Germany"}]},{"given":"Benny","family":"Pinkas","sequence":"additional","affiliation":[{"name":"Bar-Ilan University, Ramat Gan, Israel"}]},{"given":"Thomas","family":"Schneider","sequence":"additional","affiliation":[{"name":"Technical University of Darmstadt, Darmstadt, Germany"}]},{"given":"Ajith","family":"Suresh","sequence":"additional","affiliation":[{"name":"Technical University of Darmstadt, Darmstadt, Germany"}]}],"member":"320","published-online":{"date-parts":[[2022,11,7]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Special report: The simulations driving the world's response to COVID-19. Nature","author":"Adam David","year":"2020","unstructured":"David Adam . 2020. Special report: The simulations driving the world's response to COVID-19. Nature ( 2020 ). David Adam. 2020. Special report: The simulations driving the world's response to COVID-19. Nature (2020)."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_2_1","DOI":"10.1109\/ACCESS.2020.3010226"},{"key":"e_1_3_2_1_3_1","volume-title":"Angela Di Matteo, and Marta Colaneri.","author":"Giordano Giulia","year":"2020","unstructured":"Giulia Giordano , Franco Blanchini , Raffaele Bruno , Patrizio Colaneri , Alessandro Di Filippo , Angela Di Matteo, and Marta Colaneri. 2020 . Modelling the COVID-19 epidemic and implementation of population-wide interventions in Italy. Nature Medicine ( 2020). Giulia Giordano, Franco Blanchini, Raffaele Bruno, Patrizio Colaneri, Alessandro Di Filippo, Angela Di Matteo, and Marta Colaneri. 2020. Modelling the COVID-19 epidemic and implementation of population-wide interventions in Italy. Nature Medicine (2020)."},{"unstructured":"Daniel G\u00fc nther Marco Holz Benjamin Judkewitz Helen M\u00f6llering Benny Pinkas Thomas Schneider and Ajith Suresh. 2022. Privacy-Preserving Epidemiological Modeling on Mobile Graphs. (2022). https:\/\/doi.org\/10.48550\/arXiv.2206.00539 10.48550\/arXiv.2206.00539","key":"#cr-split#-e_1_3_2_1_4_1.1"},{"unstructured":"Daniel G\u00fc nther Marco Holz Benjamin Judkewitz Helen M\u00f6llering Benny Pinkas Thomas Schneider and Ajith Suresh. 2022. Privacy-Preserving Epidemiological Modeling on Mobile Graphs. (2022). https:\/\/doi.org\/10.48550\/arXiv.2206.00539","key":"#cr-split#-e_1_3_2_1_4_1.2"},{"key":"e_1_3_2_1_5_1","volume-title":"Stephen Kissler, Maria L Tang, Hannah Fry, and Julia R Gog.","author":"Klepac Petra","year":"2020","unstructured":"Petra Klepac , Adam J Kucharski , Andrew JK Conlan , Stephen Kissler, Maria L Tang, Hannah Fry, and Julia R Gog. 2020 . Contacts in context: large-scale setting-specific social mixing matrices from the BBC Pandemic project. MedRxiv ( 2020). Petra Klepac, Adam J Kucharski, Andrew JK Conlan, Stephen Kissler, Maria L Tang, Hannah Fry, and Julia R Gog. 2020. Contacts in context: large-scale setting-specific social mixing matrices from the BBC Pandemic project. MedRxiv (2020)."},{"key":"e_1_3_2_1_6_1","volume-title":"Where Covid contract-tracing went wrong. Nature","author":"Lewis Dyani","year":"2020","unstructured":"Dyani Lewis . 2020. Where Covid contract-tracing went wrong. Nature ( 2020 ). Dyani Lewis. 2020. Where Covid contract-tracing went wrong. Nature (2020)."},{"key":"e_1_3_2_1_7_1","volume-title":"The challenges arising from the COVID-19 pandemic and the way people deal with them. A qualitative longitudinal study. PloS One","author":"Maison Dominika","year":"2021","unstructured":"Dominika Maison , Diana Jaworska , Dominika Adamczyk , and Daria Affeltowicz . 2021. The challenges arising from the COVID-19 pandemic and the way people deal with them. A qualitative longitudinal study. PloS One ( 2021 ). Dominika Maison, Diana Jaworska, Dominika Adamczyk, and Daria Affeltowicz. 2021. The challenges arising from the COVID-19 pandemic and the way people deal with them. A qualitative longitudinal study. PloS One (2021)."},{"key":"e_1_3_2_1_8_1","volume-title":"International Conference on Artificial Intelligence and Statistics.","author":"McMahan Brendan","year":"2017","unstructured":"Brendan McMahan , Eider Moore , Daniel Ramage , Seth Hampson , and Blaise Aguera y Arcas . 2017 . Communication-Efficient Learning of Deep Networks from Decentralized Data . In International Conference on Artificial Intelligence and Statistics. Brendan McMahan, Eider Moore, Daniel Ramage, Seth Hampson, and Blaise Aguera y Arcas. 2017. Communication-Efficient Learning of Deep Networks from Decentralized Data. In International Conference on Artificial Intelligence and Statistics."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_9_1","DOI":"10.1186\/s12916-020-01628-4"},{"key":"e_1_3_2_1_10_1","volume-title":"Fundamental Limitations of Contact Tracing for COVID-19. FACETS","author":"Tupper Paul","year":"2021","unstructured":"Paul Tupper , Sarah P. Otto , and Caroline Colijn . 2021. Fundamental Limitations of Contact Tracing for COVID-19. FACETS ( 2021 ). Paul Tupper, Sarah P. Otto, and Caroline Colijn. 2021. Fundamental Limitations of Contact Tracing for COVID-19. FACETS (2021)."},{"key":"e_1_3_2_1_11_1","volume-title":"Frontiers in Public Health","volume":"9","author":"Blagojevi\u0107 Andjela","year":"2021","unstructured":"Andjela Blagojevi\u0107 , Danijela Cvetkovi\u0107 , Aleksandar Cvetkovi\u0107 , Ivan Lorencin , Sandi Baressi ?egota, Dragan Milovanovi\u0107 , Dejan Baski\u0107 , Zlatan Car , and Nenad Filipovi\u0107 . 2021 . Epidemiological Predictive Modeling of COVID-19 Infection: Development, Testing, and Implementation on the Population of the Benelux Union . Frontiers in Public Health , Vol. 9 (2021). Andjela Blagojevi\u0107, Danijela Cvetkovi\u0107, Aleksandar Cvetkovi\u0107, Ivan Lorencin, Sandi Baressi ?egota, Dragan Milovanovi\u0107, Dejan Baski\u0107, Zlatan Car, and Nenad Filipovi\u0107. 2021. Epidemiological Predictive Modeling of COVID-19 Infection: Development, Testing, and Implementation on the Population of the Benelux Union. Frontiers in Public Health, Vol. 9 (2021)."}],"event":{"sponsor":["SIGSAC ACM Special Interest Group on Security, Audit, and Control"],"acronym":"CCS '22","name":"CCS '22: 2022 ACM SIGSAC Conference on Computer and Communications Security","location":"Los Angeles CA USA"},"container-title":["Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3548606.3563497","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3548606.3563497","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T17:51:06Z","timestamp":1750182666000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3548606.3563497"}},"subtitle":["Privacy-Preserving Epidemiological Modeling on Mobile Graphs"],"short-title":[],"issued":{"date-parts":[[2022,11,7]]},"references-count":12,"alternative-id":["10.1145\/3548606.3563497","10.1145\/3548606"],"URL":"https:\/\/doi.org\/10.1145\/3548606.3563497","relation":{},"subject":[],"published":{"date-parts":[[2022,11,7]]},"assertion":[{"value":"2022-11-07","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}