A research paper reveals a novel attack where adversaries can extract reasoning traces (chain-of-thought tokens) from proprietary LLM APIs that claim to hide them. By querying the model with carefully crafted prompts and exploiting API response patterns, attackers can reconstruct internal reasoning steps used for complex queries.
Background
Major AI labs like OpenAI and Anthropic have been hiding chain-of-thought reasoning tokens from their API responses to protect intellectual property and prevent adversarial manipulation. This work demonstrates that these hidden reasoning traces are recoverable through clever extraction techniques.
- Source
- Hacker News (RSS)
- Published
- Aug 11, 2026 at 09:22 PM
- Score
- 7.0 / 10