
Protecting Privacy in LLM Interactions
Using Emoji-Based Obfuscation to Secure User Prompts
EmojiPrompt introduces a novel approach to protect user privacy when communicating with cloud-based LLMs, by transforming sensitive text into emoji-based representations that are human-readable but difficult for adversaries to reverse-engineer.
- Addresses critical privacy concerns in ChatGPT and other cloud LLMs
- Creates an obfuscation layer that preserves semantic meaning while masking original content
- Defends against both prompt inference attacks and service provider data collection
- Provides a practical balance between usability and privacy protection
This research is significant for security professionals as it offers a lightweight, implementable solution to growing privacy concerns that might otherwise prevent organizations from leveraging powerful LLM capabilities in sensitive contexts.