Author

Yunji Kim

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Preprint Aug 2026

Will the User Ever Know? Covert Indirect Prompt Injection Attacks on Tool-Using LLM Agents

As LLM agents take real-world actions through tools, indirect prompt injection (IPI) has emerged as a serious threat. The standard metric, Attack Success Rate (ASR), counts whether an injection succeeds but ignores what the user notices in the agent's final response. Looking at successful injection traces, we find two...

Yunseok Lee, Yunji Kim, Woo-Jin Lee · 0 citations

#artificial intelligence Review Oct 2026

PLCWorld: Benchmarking LLM-Generated PLC Programs in Closed-Loop Plant Simulation

Programmable logic controllers (PLCs) coordinate industrial equipment by reading sensor inputs and issuing control commands. Evaluating whether large language model (LLM)-generated PLC programs satisfy task requirements and safety constraints requires observing how their commands affect device and workpiece states. We...

Yunji Kim, Yunseok Lee, Hyunwoo Seo et al. · 0 citations

#artificial intelligence Preprint Aug 2026

Will the User Ever Know? Covert Indirect Prompt Injection Attacks on Tool-Using LLM Agents

ICoA (Induced Covert Attack), an IPI attack designed to induce covert outcomes by steering the agent back to the user task by steering the agent back to the user task after executing the injection is proposed.

Yunseok Lee, Yunji Kim, Woo-Jin Lee · 0 citations