3 citations · 3 across the 5 of their papers we have counts for
6 papers
ORBIT: A Framework for Multi-Agent Safety and Security Evaluations
Ben Hagag, William L. Anderson, Srija Chakraborty +1
Multi-agent LLM systems are increasingly deployed for complex, long-horizon tasks or emerge as a natural consequence of agents interacting in the wild. Yet they give rise to signif…
Linguistic Firewall: Geometry as Defense in Multi-Agent Systems Routing
Dvir Alsheich, Adar Peleg, Ben Hagag +3
The rapid integration of Large Language Models (LLMs) has driven the evolution of Multi-Agent Systems (MAS), where specialized agents collaborate to execute complex workflows. Effe…
Architecture Matters for Multi-Agent Security
Ben Hagag, William L. Anderson, Christian Schroeder de Witt +1
Multi-agent systems (MAS), composed of networks of two or more autonomous AI agents, have become increasingly popular in production deployments, yet introduce security risks that d…
Thought Virus: Viral Misalignment via Subliminal Prompting in Multi-Agent Systems
Moritz Weckbecker, Jonas Müller, Ben Hagag +1
Subliminal prompting is a phenomenon in which language models are biased towards certain concepts or traits through prompting with semantically unrelated tokens. While prior work h…
LegalLens Shared Task 2024: Legal Violation Identification in Unstructured Text
Ben Hagag, Liav Harpaz, Gil Semo +5
This paper presents the results of the LegalLens Shared Task, focusing on detecting legal violations within text in the wild across two sub-tasks: LegalLens-NER for identifying leg…
LegalLens: Leveraging LLMs for Legal Violation Identification in Unstructured Text
Dor Bernsohn, Gil Semo, Yaron Vazana +5
In this study, we focus on two main tasks, the first for detecting legal violations within unstructured textual data, and the second for associating these violations with potential…