Changting Lin
Changting Lin has 2 papers in our library, in 2025–2026, most of them on Language models & pretraining; often with Meng Han, Jiahui Yu, Wenpeng Xing.
OpenAlex · ORCID · h-index 13 · 43 works · 448 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 4 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #10533
Affiliations
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 1 workHardware and Architecture · 1 workArts and Humanities · 1 workLanguage and Linguistics · 1 work
🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 1 work
Works by year
2020s
Papers
- CTCC: A Robust and Stealthy Fingerprinting Framework for Large Language Models via Cross-Turn Contextual Correlation Backdoor (2025 · 4 citations)
The paper tackles ownership verification for large language models that may be stolen and redistributed. Earlier fingerprinting approaches each have a weak spot. Rare-token triggers stand out under perplexity checks. Natural-looking triggers such as HashChain tend to vanish after fine-tuning or merging. Most… - MCP-Guard: A Multi-Stage Defense-in-Depth Framework for Securing Model Context Protocol in Agentic AI (2026 · 1 citation)
Connecting LLM agents to external tools through the Model Context Protocol (MCP) opens new attack routes, including prompt injection, Tool Poisoning, Shadowing and data exfiltration.
All works
- CTCC: A Robust and Stealthy Fingerprinting Framework for Large Language Models via Cross-Turn Contextual Correlation BackdoorConference on Empirical Methods in Natural Language Processing (EMNLP)Zhenhua Xu, Xixiang Zhao, Xubin Yue, et al.2025 · 4 citations
- MCP-Guard: A Multi-Stage Defense-in-Depth Framework for Securing Model Context Protocol in Agentic AIFindings of the Association for Computational LinguisticsWenpeng Xing, Zhonghao Qi, Yupeng Qin, et al.2026 · 1 citation
- Silencing the Guardrails: Inference-Time Jailbreaking via Dynamic Contextual Representation Ablation ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetWenpeng Xing et al.2026
Co-authors here
Venues
- Conference on Empirical Methods in Natural Language Processing (EMNLP): EMNLP 2025
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
- Findings of the Association for Computational Linguistics: ACL 2026
Cited by
Updated
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