jbostock/untrusted-monitoring-2026-paper
Untrusted Monitoring — eval logs for "When can we trust untrusted monitoring?" Raw Inspect AI eval logs behind the paper When can we trust untrusted monitoring? A safety case sketch across collusion strategies (arXiv:2602.20628). Code and statistical pipeline: NelsonG-C/lasr-labs-2025-control-project. Two model classes, each an Inspect-log tree of per-sample monitor scores (~300 samples per log): class U (policy + untrusted monitors) T (trusted monitor) H (honeypots)… See the full description on the dataset page: https://huggingface.co/datasets/jbostock/untrusted-monitoring-2026-paper.
| Author / organization | jbostock |
|---|---|
| Downloads | 404 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 25 July 2026 |
| Last updated at source | 28 July 2026 |
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