Yuanhe Zhang
According to our database1,
Yuanhe Zhang authored at least 28 papers
between 2024 and 2026.
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Bibliography
2026
CoRR, May, 2026
A Survey of Large Audio Language Models: Generalization, Trustworthiness, and Outlook.
CoRR, May, 2026
LARFT: Closing the Cognition-Action Gap for Length Instruction Following in Large Language Models.
CoRR, March, 2026
MCPShield: A Security Cognition Layer for Adaptive Trust Calibration in Model Context Protocol Agents.
CoRR, February, 2026
RECUR: Resource Exhaustion Attack via Recursive-Entropy Guided Counterfactual Utilization and Reflection.
CoRR, February, 2026
From Helpfulness to Toxic Proactivity: Diagnosing Behavioral Misalignment in LLM Agents.
CoRR, February, 2026
CoRR, February, 2026
SEE: Signal Embedding Energy for Quantifying Noise Interference in Large Audio Language Models.
CoRR, January, 2026
Hidden in the Noise: Unveiling Backdoors in Audio LLMs Alignment Through Latent Acoustic Pattern Triggers.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
LeechHijack: Covert Computational Resource Exploitation in Intelligent Agent Systems.
CoRR, December, 2025
Jailbreaking Large Language Diffusion Models: Revealing Hidden Safety Flaws in Diffusion-Based Text Generation.
CoRR, July, 2025
CoRR, July, 2025
PD<sup>3</sup>F: A Pluggable and Dynamic DoS-Defense Framework Against Resource Consumption Attacks Targeting Large Language Models.
CoRR, May, 2025
CORBA: Contagious Recursive Blocking Attacks on Multi-Agent Systems Based on Large Language Models.
CoRR, February, 2025
CoRR, February, 2025
Can Blockchain Technology Promote Green Transformation? Evidence from Chinese Listed Enterprises.
Syst., 2025
Mitigating privacy risks in Retrieval-Augmented Generation via locally private entity perturbation.
Inf. Process. Manag., 2025
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025
Unit Test Update through LLM-Driven Context Collection and Error-Type-Aware Refinement.
Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025
LoRA-One: One-Step Full Gradient Could Suffice for Fine-Tuning Large Language Models, Provably and Efficiently.
Proceedings of the Forty-second International Conference on Machine Learning, 2025
DemonAgent: Dynamically Encrypted Multi-Backdoor Implantation Attack on LLM-based Agent.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025
PD³F: A Pluggable and Dynamic DoS-Defense Framework against resource consumption attacks targeting Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025
Crabs: Consuming Resource via Auto-generation for LLM-DoS Attack under Black-box Settings.
Proceedings of the Findings of the Association for Computational Linguistics, 2025
2024
Crabs: Consuming Resrouce via Auto-generation for LLM-DoS Attack under Black-box Settings.
CoRR, 2024
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024