Introduces the Grounded Observer framework that applies robotics-inspired formal constructs for runtime constraint enforcement on foundation model interaction trajectories in socially sensitive domains.
Vulnerabilities of foundation model integrated federated learning under adversarial threats,
2 Pith papers cite this work. Polarity classification is still indexing.
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Perspective paper lists secret leakage, free-rider attacks, system disruption, and misinformation as prompt-injection risks in federated military LLMs and proposes red-team wargaming plus joint policy as mitigations.
citing papers explorer
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Robotics-Inspired Guardrails for Foundation Models in Socially Sensitive Domains
Introduces the Grounded Observer framework that applies robotics-inspired formal constructs for runtime constraint enforcement on foundation model interaction trajectories in socially sensitive domains.
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Exploring Potential Prompt Injection Attacks in Federated Military LLMs and Their Mitigation
Perspective paper lists secret leakage, free-rider attacks, system disruption, and misinformation as prompt-injection risks in federated military LLMs and proposes red-team wargaming plus joint policy as mitigations.