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A single successful attack can reveal persistent vulnerabilities in LLM safeguards, challenging the assumption that improved local scores equate to enhanced safety in deployment.
A single manipulated search result can dramatically amplify the effectiveness of attacks on LLM-based search agents, revealing critical vulnerabilities in their evidence-gathering processes.
A safety trilemma reveals that LLMs cannot balance utility, safety, and access when evidence is copyable, exposing a critical vulnerability in current safeguards.
