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doi:10.22028/D291-47312 | Title: | Industrial practitioners’ mental models of adversarial machine learning |
| Author(s): | Bieringer, Lukas Grosse, Kathrin Backes, Michael Biggio, Battista Krombholz, Katharina |
| Language: | English |
| Title: | USENIX Symposium on Usable Privacy and Security (SOUPS) 2022 |
| Pages: | 97-116 |
| Publisher/Platform: | USENIX Association |
| Year of Publication: | 2022 |
| Place of the conference: | Boston, USA |
| DDC notations: | 004 Computer science, internet |
| Publikation type: | Conference Paper |
| Link to this record: | urn:nbn:de:bsz:291--ds-473126 hdl:20.500.11880/41375 http://dx.doi.org/10.22028/D291-47312 |
| ISBN: | 978-1-939133-30-4 |
| Date of registration: | 20-Mar-2026 |
| Faculty: | MI - Fakultät für Mathematik und Informatik |
| Department: | MI - Informatik |
| Professorship: | MI - Prof. Dr. Michael Backes |
| Collections: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
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