Please use this identifier to cite or link to this item: doi:10.22028/D291-47209
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Title: Breaking Agents: Compromising Autonomous LLM Agents Through Malfunction Amplification
Author(s): Zhang, Boyang
Tan, Yicong
Shen, Yun
Salem, Ahmed
Backes, Michael
Zannettou, Savvas
Zhang, Yang
Language: English
Title: Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
Pages: 34964-34976
Publisher/Platform: ACL
Year of Publication: 2025
Place of the conference: Suzhou, China
DDC notations: 004 Computer science, internet
Publikation type: Conference Paper
DOI of the first publication: 10.18653/v1/2025.emnlp-main.1771
Link to this record: urn:nbn:de:bsz:291--ds-472094
hdl:20.500.11880/41309
http://dx.doi.org/10.22028/D291-47209
Date of registration: 12-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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