AIBullisharXiv – CS AI · 6h ago7/10
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Efficient and Sound Probabilistic Verification for AI Agents
Researchers introduce a probabilistic verification framework for AI agents that enforces security policies when systems contain uncertainty or imperfect predictors. Using distributionally robust optimization, the approach computes sound upper bounds on policy violations without requiring independence assumptions, demonstrating improvements over existing methods for terminal and tool-calling agents.