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doi:10.22028/D291-47260 | Title: | "Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models |
| Author(s): | Shen, Xinyue Chen, Zeyuan Backes, Michael Shen, Yun Zhang, Yang |
| Language: | English |
| Title: | CCS '24: Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security |
| Pages: | 1671-1685 |
| Publisher/Platform: | ACM |
| Year of Publication: | 2024 |
| DDC notations: | 004 Computer science, internet |
| Publikation type: | Conference Paper |
| DOI of the first publication: | 10.1145/3658644.3670388 |
| URL of the first publication: | https://dl.acm.org/doi/10.1145/3658644.3670388 |
| Link to this record: | urn:nbn:de:bsz:291--ds-472605 hdl:20.500.11880/41347 http://dx.doi.org/10.22028/D291-47260 |
| ISBN: | 979-8-4007-0636-3 |
| Date of registration: | 18-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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