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University of Luebeck
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FloatDoor reveals that LLMs can be covertly compromised to exhibit malicious behavior on specific platforms while appearing benign elsewhere, exposing a critical security gap in AI deployment.
Ignoring prompt knowledge is a critical security flaw, as LLMs can covertly transmit hidden messages through their deterministic sampling processes.
Refusals from LLMs can be transformed into supportive communications that not only prevent harm but also guide users toward helpful resources.
LLM-powered agents can autonomously generate fuzz harnesses for Java libraries, outperforming existing automated approaches and even uncovering bugs in well-fuzzed code.
