Logit Laundering: Evading Data-Use Auditing in Large Language Models

# Logit Laundering: Evading Data-Use Auditing in Large Language Models

https://gcdradar.vercel.app/incidents/logit-laundering-evading-data-use-auditing-in-large-language · AIR-2026-1825 · live

- Lane: Research
- Severity: 1 (Research / proof of concept): Research paper demonstrating an evasion attack against data auditing.
- Fix status: Fix status unknown
- First reported: 2026-11-09
- AI role: Attack on AI
- Products: LLMs

## Summary

Researchers introduce an adversarial technique called logit laundering to bypass watermarking-based data-use auditing in large language models.

## What to do

No action recorded; read the sources below and the vendor's advisory.

## Latest updates

- 2026-11-09: Logit Laundering: Evading Data-Use Auditing in Large Language Models (https://arxiv.org/abs/2611.09446)

## Sources

- 2026-11-09 arXiv: Logit Laundering: Evading Data-Use Auditing in Large Language Models https://arxiv.org/abs/2611.09446

Verify against the vendor's advisory before changing production. Data CC BY-SA 4.0, https://gcdradar.vercel.app.