Author

Jie Liao

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Preprint Oct 2026

PyCache Trap: The Inspection-Execution Gap in Agent Skill Scanners

Agent skills combine instructions with executable resources, giving third-party packages access to an agent's runtime. Existing skill scanners inspect documentation and visible source, but Python may execute a bundled bytecode cache with different behavior. We study this gap between inspection and execution through PyC...

Jie Liao, Si-Meng Qin, Wen-Qi Ren et al. · 0 citations

#artificial intelligence Preprint Oct 2026

Visual-Invariance-Augmented Feature Optimal Alignment for Transferable Adversarial Attacks against Closed-Source MLLMs

Multimodal large language models (MLLMs) remain vulnerable to transferable adversarial examples, especially in black-box settings where only open-source surrogate models are accessible. Existing targeted transfer attacks mainly align adversarial and target samples using global image-level features, such as encoder [CLS...

Xiao-Jun Jia, Si-Meng Qin, Yi-Ming Li et al. · 0 citations

Preprint Aug 2026

ElasticBack: Stealthy Conditional Backdoor in LLM-Agent Skills via Coupled Trigger-Rule Optimization

ElasticBack is presented, an effective conditional single-skill backdoor that plants a rule R in the skill document and a benign-looking trigger T in the user query, so the malicious payload fires only when both co-occur, and motivates stronger defenses for the skill supply chain.

Hao Sui, Si-Meng Qin, Jie Liao et al. · 0 citations