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cs.CR2026
Red-Teaming Multi-Agent Attacks for Loss-of-Control Risks
John Kitaoka, Thao Amelia Pham, Carlos Rafael Giudice +1
AI agents are growing more capable and persistent, and are being deployed in ever larger numbers. As more start collaborating, AI control measures must remain effective when they c…
cs.AI2026
GT-HarmBench: Benchmarking AI Safety Risks Through the Lens of Game Theory
Pepijn Cobben, Xuanqiang Angelo Huang, Thao Amelia Pham +3
Frontier AI systems are increasingly capable and deployed in high-stakes multi-agent environments. However, existing AI safety benchmarks largely evaluate single agents, leaving mu…