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cs.CR2025
To Protect the LLM Agent Against the Prompt Injection Attack with Polymorphic Prompt
Zhilong Wang, Neha Nagaraja, Lan Zhang +3
LLM agents are widely used as agents for customer support, content generation, and code assistance. However, they are vulnerable to prompt injection attacks, where adversarial inpu…
cs.CR2025
FDLLM: A Dedicated Detector for Black-Box LLMs Fingerprinting
Zhiyuan Fu, Junfan Chen, Lan Zhang +9
Large Language Models (LLMs) are rapidly transforming the landscape of digital content creation. However, the prevalent black-box Application Programming Interface (API) access to…