Autonomous agents increasingly perform long-horizon tasks involving tool use, persistent state, and consequential actions, raising a fundamental question: \emph{under what conditions does an agent cross the boundary of authorized execution while pursuing a legitimate task?} Existing studies often attribute such failure...
Zong-Hao Ying, Xiang-Fan Wu, Bo Yang et al.· 1 citation· ⚡1
Indirect prompt injection embeds malicious instructions within external content retrieved by LLM-based agents, altering target behavior without user authorization. We introduce pikit, a research toolkit designed to systematically evaluate these threats across three core dimensions: attacks (13 methods), channels (16 ca...
Zong-Hao Ying, Xiang-Fan Wu, Bo Yang et al.· 0 citations
The account motivates complementary defenses: strengthen resistance and recovery alongside prevention of spontaneous deviations, and audit and restrict unintended communication paths that can turn local failures into collective loss of control.
Xiang-Fan Wu, Zong-Hao Ying, Hui-Yu Wu et al.· 0 citations
Skill evolution is revealed as a new attack surface and provenance-aware skill lifecycle protection is motivated to motivate provenance-aware skill lifecycle protection.
This work assesses indirect prompt injection in DeepSeek Harness, using AI-Infra-Guard (A.I.G) to construct tests, deliver controlled taint, execute DSH, collect traces, and judge outcomes, and relates these results to DSH's treatment of tool results, additional contexts, and tool-call policy hooks.
Zong-Hao Ying, Xiang-Fan Wu, Hui-Yu Wu et al.· 2 citations
AFL and EFL have little detectable route-level association with GPQA-Diamond accuracy and pronounced EFL coincides with a decline in Terminal-Bench pass rate as task exposure increases, a pattern may arise because correctness in long-horizon tasks is more sensitive to extreme fidelity loss.
Xiang-Fan Wu, Zong-Hao Ying, Hui-Yu Wu et al.· 1 citation
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