Agentic data science with the Data Agent Kit
cloud.google.com·6h ago
AI Research
arXiv CS.AI·Aug 18·5 min read
Synchronized Logit Steering: Real-world Steganography
TL;DR
Synchronized Logit Steering (SLS) enables hidden message embedding in large language models without requiring identical prompts for sender and receiver. This method achieves high information density while maintaining natural text generation.
✦ Why It Matters
Implement SLS to enhance secure communication in applications using large language models today.
Key Takeaways
- Utilize SLS for secure message embedding in LLMs.
- Achieve high information density with periodic bursts.
- Ensure sender and receiver can synchronize without identical prompts.
- Test outputs for statistical indistinguishability from standard generation.
How It Works
SLS derives a proxy prompt from the generated output, allowing both sender and receiver to reconstruct the same logit distribution. It encodes hidden messages as token ranks in high-entropy regions, which helps maintain the naturalness of the text while embedding information.