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doi:10.22028/D291-47477 | Title: | SecurityNet: Assessing Machine Learning Vulnerabilities on Public Models |
| Author(s): | Zhang, Boyang Li, Zheng Yang, Ziqing He, Xinlei Backes, Michael Fritz, Mario Zhang, Yang |
| Language: | English |
| Title: | 33rd USENIX Security Symposium (USENIX Security 24) |
| Pages: | 3873-3890 |
| Publisher/Platform: | USENIX Association |
| Year of Publication: | 2024 |
| DDC notations: | 004 Computer science, internet |
| Publikation type: | Conference Paper |
| Link to this record: | urn:nbn:de:bsz:291--ds-474771 hdl:20.500.11880/41513 http://dx.doi.org/10.22028/D291-47477 |
| ISBN: | 978-1-939133-44-1 |
| Date of registration: | 14-Apr-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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