Researchers Show How to Steal Reasoning Traces from Proprietary LLMs

A paper by Ilia Shumailov and Alexander Panfilov shows attackers can reconstruct and steal reasoning traces from proprietary LLM APIs even during encrypted inference, exposing sensitive strategies and data.

2026-08-23 ~ 2026-08-25 · 2 related posts

• Attacks Restore Reasoning Traces, Exposing Proprietary LLM Chain-of-Thought — Machine Learning Street Talk · 2026-08-23
• Stealing Reasoning Traces: Exploiting Encryption in LLMs Exposed — bycloud · 2026-08-25