[{"main_file_link":[{"url":"https://dl.gi.de/handle/20.500.12116/28935"}],"conference":{"start_date":"2019-09-16","name":"INFOS 2019","location":"Dortmund, Germany","end_date":"2019-09-18"},"date_updated":"2025-05-25T20:01:40Z","author":[{"full_name":"Opel, Simone","last_name":"Opel","first_name":"Simone"},{"full_name":"Schlichtig, Michael","id":"32312","orcid":"0000-0001-6600-6171","last_name":"Schlichtig","first_name":"Michael"},{"first_name":"Carsten","last_name":"Schulte","full_name":"Schulte, Carsten"},{"last_name":"Biehler","full_name":"Biehler, Rolf","first_name":"Rolf"},{"first_name":"Daniel","full_name":"Frischemeier, Daniel","last_name":"Frischemeier"},{"first_name":"Susanne","last_name":"Podworny","full_name":"Podworny, Susanne"},{"first_name":"Thomas","full_name":"Wassong, Thomas","id":"21241","last_name":"Wassong"}],"place":"Bonn","citation":{"short":"S. Opel, M. Schlichtig, C. Schulte, R. Biehler, D. Frischemeier, S. Podworny, T. Wassong, in: A. Pasternak (Ed.), Informatik für alle, Gesellschaft für Informatik, Bonn, 2019, pp. 285–294.","mla":"Opel, Simone, et al. “Entwicklung und Reflexion einer Unterrichtssequenz zum Maschinellen Lernen als Aspekt von Data Science in der Sekundarstufe II.” <i>Informatik für alle</i>, edited by Arno Pasternak, Gesellschaft für Informatik, 2019, pp. 285–94.","bibtex":"@inproceedings{Opel_Schlichtig_Schulte_Biehler_Frischemeier_Podworny_Wassong_2019, place={Bonn}, title={Entwicklung und Reflexion einer Unterrichtssequenz zum Maschinellen Lernen als Aspekt von Data Science in der Sekundarstufe II}, booktitle={Informatik für alle}, publisher={Gesellschaft für Informatik}, author={Opel, Simone and Schlichtig, Michael and Schulte, Carsten and Biehler, Rolf and Frischemeier, Daniel and Podworny, Susanne and Wassong, Thomas}, editor={Pasternak, Arno}, year={2019}, pages={285–294} }","apa":"Opel, S., Schlichtig, M., Schulte, C., Biehler, R., Frischemeier, D., Podworny, S., &#38; Wassong, T. (2019). Entwicklung und Reflexion einer Unterrichtssequenz zum Maschinellen Lernen als Aspekt von Data Science in der Sekundarstufe II. In A. Pasternak (Ed.), <i>Informatik für alle</i> (pp. 285–294). Gesellschaft für Informatik.","ama":"Opel S, Schlichtig M, Schulte C, et al. Entwicklung und Reflexion einer Unterrichtssequenz zum Maschinellen Lernen als Aspekt von Data Science in der Sekundarstufe II. In: Pasternak A, ed. <i>Informatik für alle</i>. Gesellschaft für Informatik; 2019:285-294.","ieee":"S. Opel <i>et al.</i>, “Entwicklung und Reflexion einer Unterrichtssequenz zum Maschinellen Lernen als Aspekt von Data Science in der Sekundarstufe II,” in <i>Informatik für alle</i>, Dortmund, Germany, 2019, pp. 285–294.","chicago":"Opel, Simone, Michael Schlichtig, Carsten Schulte, Rolf Biehler, Daniel Frischemeier, Susanne Podworny, and Thomas Wassong. “Entwicklung und Reflexion einer Unterrichtssequenz zum Maschinellen Lernen als Aspekt von Data Science in der Sekundarstufe II.” In <i>Informatik für alle</i>, edited by Arno Pasternak, 285–94. Bonn: Gesellschaft für Informatik, 2019."},"page":" 285-294 ","publication_status":"published","publication_identifier":{"isbn":["978-3-88579-682-4"]},"_id":"14847","user_id":"21241","department":[{"_id":"67"},{"_id":"97"}],"editor":[{"first_name":"Arno","last_name":"Pasternak","full_name":"Pasternak, Arno"}],"status":"public","type":"conference","title":"Entwicklung und Reflexion einer Unterrichtssequenz zum Maschinellen Lernen als Aspekt von Data Science in der Sekundarstufe II","publisher":"Gesellschaft für Informatik","date_created":"2019-11-07T14:07:30Z","year":"2019","language":[{"iso":"ger"}],"abstract":[{"text":"Die Bereiche „Data Science“ und „Big Data“ sowie ihre technischen, ethischen und gesellschaftlichen Auswirkungen werden zunehmend nicht nur in der Wissenschaft, sondern auch in diversen Medien diskutiert und somit verstärkt auch zu einem wichtigen Thema für alle. Um den Schülerinnen und Schülern der Sekundarstufe II einen theoretisch und fachwissenschaftlich fundierten Einstieg in diesen Themenbereich zu ermöglichen, wurde ein erster Entwurf eines interdisziplinären Curriculums entwickelt, das neben fachlichen Aspekten von Data Science einen Fokus auf sich hieraus ergebende gesellschaftliche Fragestellungen legt. Es werden neben der Konzeption des Kurses die bisherigen Erfahrungen aus der Durchführung – insbesondere in Hinsicht der darin enthaltenen Unterrichtseinheit zum Maschinellen Lernen - berichtet, sowie die sich hieraus ergebenden Implikationen für die Weiterentwicklung dargestellt und diskutiert.","lang":"ger"}],"publication":"Informatik für alle"},{"_id":"3265","project":[{"_id":"1","name":"SFB 901"},{"name":"SFB 901 - Project Area C","_id":"4"},{"_id":"13","name":"SFB 901 - Subproject C1"},{"_id":"44","name":"KogniHome - die mitdenkende Wohnung"}],"department":[{"_id":"64"}],"user_id":"25078","file_date_updated":"2018-11-08T10:17:39Z","type":"conference","status":"public","date_updated":"2022-01-06T06:59:07Z","oa":"1","author":[{"last_name":"Bemmann","full_name":"Bemmann, Kai","first_name":"Kai"},{"last_name":"Blömer","id":"23","full_name":"Blömer, Johannes","first_name":"Johannes"},{"full_name":"Bobolz, Jan","id":"27207","last_name":"Bobolz","first_name":"Jan"},{"first_name":"Henrik","id":"41047","full_name":"Bröcher, Henrik","last_name":"Bröcher"},{"last_name":"Diemert","full_name":"Diemert, Denis Pascal","id":"44071","first_name":"Denis Pascal"},{"last_name":"Eidens","full_name":"Eidens, Fabian","id":"25078","first_name":"Fabian"},{"full_name":"Eilers, Lukas","last_name":"Eilers","first_name":"Lukas"},{"id":"44413","full_name":"Haltermann, Jan Frederik","last_name":"Haltermann","first_name":"Jan Frederik"},{"first_name":"Jakob","full_name":"Juhnke, Jakob","id":"48090","last_name":"Juhnke"},{"first_name":"Burhan","last_name":"Otour","full_name":"Otour, Burhan"},{"id":"47434","full_name":"Porzenheim, Laurens Alexander","last_name":"Porzenheim","first_name":"Laurens Alexander"},{"first_name":"Simon","last_name":"Pukrop","full_name":"Pukrop, Simon"},{"first_name":"Erik","last_name":"Schilling","full_name":"Schilling, Erik"},{"first_name":"Michael","last_name":"Schlichtig","full_name":"Schlichtig, Michael","id":"32312"},{"full_name":"Stienemeier, Marcel","last_name":"Stienemeier","first_name":"Marcel"}],"doi":"10.1145/3230833.3234517","conference":{"start_date":"2018-08-27","name":"ARES 2018 - SECPID","location":"Hamburg, Germany","end_date":"2018-08-30"},"main_file_link":[{"open_access":"1","url":"https://eprint.iacr.org/2018/835"}],"publication_identifier":{"isbn":["978-1-4503-6448-5"]},"has_accepted_license":"1","publication_status":"accepted","related_material":{"link":[{"relation":"software","url":"https://github.com/upbcuk"}]},"place":"New York, NY, USA","citation":{"apa":"Bemmann, K., Blömer, J., Bobolz, J., Bröcher, H., Diemert, D. P., Eidens, F., … Stienemeier, M. (n.d.). Fully-Featured Anonymous Credentials with Reputation System. In <i>Proceedings of the 13th International Conference on Availability, Reliability and Security - ARES ’18</i>. New York, NY, USA: ACM. <a href=\"https://doi.org/10.1145/3230833.3234517\">https://doi.org/10.1145/3230833.3234517</a>","short":"K. Bemmann, J. Blömer, J. Bobolz, H. Bröcher, D.P. Diemert, F. Eidens, L. Eilers, J.F. Haltermann, J. Juhnke, B. Otour, L.A. Porzenheim, S. Pukrop, E. Schilling, M. Schlichtig, M. Stienemeier, in: Proceedings of the 13th International Conference on Availability, Reliability and Security - ARES ’18, ACM, New York, NY, USA, n.d.","mla":"Bemmann, Kai, et al. “Fully-Featured Anonymous Credentials with Reputation System.” <i>Proceedings of the 13th International Conference on Availability, Reliability and Security - ARES ’18</i>, ACM, doi:<a href=\"https://doi.org/10.1145/3230833.3234517\">10.1145/3230833.3234517</a>.","bibtex":"@inproceedings{Bemmann_Blömer_Bobolz_Bröcher_Diemert_Eidens_Eilers_Haltermann_Juhnke_Otour_et al., place={New York, NY, USA}, title={Fully-Featured Anonymous Credentials with Reputation System}, DOI={<a href=\"https://doi.org/10.1145/3230833.3234517\">10.1145/3230833.3234517</a>}, booktitle={Proceedings of the 13th International Conference on Availability, Reliability and Security - ARES ’18}, publisher={ACM}, author={Bemmann, Kai and Blömer, Johannes and Bobolz, Jan and Bröcher, Henrik and Diemert, Denis Pascal and Eidens, Fabian and Eilers, Lukas and Haltermann, Jan Frederik and Juhnke, Jakob and Otour, Burhan and et al.} }","chicago":"Bemmann, Kai, Johannes Blömer, Jan Bobolz, Henrik Bröcher, Denis Pascal Diemert, Fabian Eidens, Lukas Eilers, et al. “Fully-Featured Anonymous Credentials with Reputation System.” In <i>Proceedings of the 13th International Conference on Availability, Reliability and Security - ARES ’18</i>. New York, NY, USA: ACM, n.d. <a href=\"https://doi.org/10.1145/3230833.3234517\">https://doi.org/10.1145/3230833.3234517</a>.","ieee":"K. Bemmann <i>et al.</i>, “Fully-Featured Anonymous Credentials with Reputation System,” in <i>Proceedings of the 13th International Conference on Availability, Reliability and Security - ARES ’18</i>, Hamburg, Germany.","ama":"Bemmann K, Blömer J, Bobolz J, et al. Fully-Featured Anonymous Credentials with Reputation System. In: <i>Proceedings of the 13th International Conference on Availability, Reliability and Security - ARES ’18</i>. New York, NY, USA: ACM. doi:<a href=\"https://doi.org/10.1145/3230833.3234517\">10.1145/3230833.3234517</a>"},"ddc":["000"],"language":[{"iso":"eng"}],"publication":"Proceedings of the 13th International Conference on Availability, Reliability and Security - ARES '18","abstract":[{"lang":"eng","text":"We present CLARC (Cryptographic Library for Anonymous Reputation and Credentials), an anonymous credentials system (ACS) combined with an anonymous reputation system.\r\n\r\nUsing CLARC, users can receive attribute-based credentials from issuers. They can efficiently prove that their credentials satisfy complex (access) policies in a privacy-preserving way. This implements anonymous access control with complex policies.\r\n\r\nFurthermore, CLARC is the first ACS that is combined with an anonymous reputation system where users can anonymously rate services. A user who gets access to a service via a credential, also anonymously receives a review token to rate the service. If a user creates more than a single rating, this can be detected by anyone, preventing users from spamming ratings to sway public opinion.\r\n\r\nTo evaluate feasibility of our construction, we present an open-source prototype implementation."}],"file":[{"content_type":"application/pdf","relation":"main_file","date_updated":"2018-11-08T10:17:39Z","date_created":"2018-11-08T10:17:39Z","creator":"feidens","file_size":920843,"file_id":"5428","access_level":"closed","file_name":"react_acs.pdf"}],"publisher":"ACM","date_created":"2018-06-14T11:19:29Z","title":"Fully-Featured Anonymous Credentials with Reputation System","quality_controlled":"1","year":"2018"}]