Author

Ping He

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Preprint Jul 2026

Hybrid Analysis for Secure MCP Tool Use in LLM Agents

MTGuard is proposed, a hybrid analysis-based defense framework designed to safeguard the use of MCP tools in LLM agents by leveraging lifecycle-aware static-dynamic co-analysis and effectively mitigates multiple categories of harmful tool use across different LLM agents while maintaining performance on benign user tasks.

Ping He, Yuexiang Xie, Yaliang Li et al. · 0 citations

Preprint Jul 2026

Learning from Synthetic Data without Model Collapse in Iterative Instruction Tuning

KITE (Knowledge-boundary Instruction Tuning via Exploration), a two-stage framework that combines failure-guided data generation with boundary-aware uncertainty curation, is proposed, showing that KITE yields more stable improvement than strong synthetic-data baselines.

Xiaonan Luo, Yue Huang, Kehan Guo et al. · 1 citation