Papers by Zhonghao Zhan
How Adversarial Environments Mislead Agentic AI? (2026.findings-acl)
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| Challenge: | Current evaluations benchmark capability in benign settings, but never "what if the tools lie" we formalize this vulnerability as Adversarial Environmental Injection (AEI) AEI constitutes environmental deception by constructing a "fake world" of poisoned search results . |
| Approach: | They propose an attack model where adversaries compromise tool outputs to deceive agents. |
| Outcome: | The proposed model exploits a trust gap between tool outputs and actual exposure to adversaries. |