2 papers
cs.CR2026
Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications
Yong Yang, Chong Fu, Tong Zhang +6
Large language model (LLM)-based applications rely on system prompts to encode core logic and developer-defined constraints, making these prompts important intellectual property. H…
cs.CR2025
Semantic Encryption: Secure and Effective Interaction with Cloud-based Large Language Models via Semantic Transformation
Dong Chen, Tong Yang, Feipeng Zhai +5
The increasing adoption of Cloud-based Large Language Models (CLLMs) has raised significant concerns regarding data privacy during user interactions. While existing approaches prim…