AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
We have 2 of 9 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
FRAIL, a controlled experimental framework that places LLM agents in three dynamic financial environments, shows that individually capable agents do not automatically form safe financial systems, highlighting system-level evaluation and interaction design as central problems for financial AI safety.
This work is the first to identify and systematically study agent resource hijacking, a security blind spot in which attackers induce agents to invoke, consume, transfer, or control high-value resources for their own goals without directly obtaining those resources or their credentials.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.