Muzhi Li
1 indexed paper
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126
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2026
Towards trustworthy agentic AI: a comprehensive survey of safety, robustness, privacy, and system security
This survey provides a comprehensive, practical guide to ensuring the trustworthiness of complex, autonomous agentic AI systems by focusing on safety, robustness, privacy, and system security.
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Papers
cs.AIcs.CLcs.CRRecentMay 17, 2026
Towards trustworthy agentic AI: a comprehensive survey of safety, robustness, privacy, and system security
Jinhu Qi, Muzhi Li, Jiahong Liu, Yuqin Shu +8 more
This survey provides a comprehensive, practical guide to ensuring the trustworthiness of complex, autonomous agentic AI systems by focusing on safety, robustness, privacy, and system security.
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