Researchers Reverse-Engineer LLM Prompts from Output Text
The Decoder · rss · 2026-08-13
Researchers from IIT Bombay and Adobe Research have developed an inverse language model method called "Previous-Token Prediction" that can reconstruct original prompts from an LLM's output text with near-perfect accuracy.
This method does not require access to model weights and works across various large language models. This poses a serious security threat to enterprises and developers relying on proprietary system prompts, meaning so-called "prompt secrets" may no longer be secure.
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