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Qingni Shen

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#artificial intelligence Preprint Oct 2026

CoRedSkill: Stealthy Skill Composition Attacks via AST-Guided Injection

Agents extend their capabilities through reusable skills that package instructions, executable code, and resources. Composing these skills enables complex task workflows, but their dependencies can also connect malicious operations across skills, making their combined intent difficult to identify through individual-pac...

Qi-Cheng Zhao, Sheng-Fang Zhai, Qing-Ni Shen et al. · 0 citations
Preprint Aug 2026

JITterFlip: Uncovering Fault Attack Surfaces in JIT-Compiled LLM Serving

JITterFlip is presented, the first BFA targeting the host-side JIT serving control plane of GPU-based LLM inference, and develops a decision-guided fault-vulnerable code analysis that enables both gibberish output generation and a correct-output sponge attack.

Tai-Rui Wang, Zhi Zhang, Yan-Song Gao et al. · 0 citations

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