Clearing Context Fails to Impede AI Attackers: eval logs
Agent trajectories and analysis outputs behind the figures and tables of the paper Clearing Context Fails to Impede AI Attackers (Aaron Sandoval). The code that produced and analyses them is at https://github.com/aaron-sandoval/tu-bb2.
The data are Inspect AI eval logs (.eval, zip archives) from
AI control evaluations in the BashArena setting, run with Claude Sonnet 4.6 as the untrusted
model and GPT-5.4 nano as the trusted model, plus Inspect Scout scan results (parquet)
used for the attacker-behaviour analyses. Protocols covered: trusted
monitoring, DTR (defer to resample), DTD (decomposition triggered by the monitor) and its
text-file trigger variant, each in honest and attack mode.
Layout
Files sit at the same paths as in the code repository, so downloading into a clone of that repository puts each file where the analysis scripts read it:
experiments/_logs/tower/<eval>.eval eval logs used by the paper
experiments/_logs/milestone/<eval>.eval logs defining the 566-task BA1.0 split
experiments/data/scout_scans/<scan>/... Inspect Scout scan results
release_data_manifest.json md5, size and figure/table use of every file
Download
From a clone of the code repository:
uv sync
uv run python experiments/scripts/release_data.py list
uv run python experiments/scripts/release_data.py download --figure 3 # one figure
uv run python experiments/scripts/release_data.py download --all # everything, ~89 GB
The script checks every file against the md5 in release_data_manifest.json. Without the
script, hf download xtremekiwi/dtd-basharena-data --repo-type dataset --revision paper-v1 --local-dir <clone> --include "<path glob>" fetches files directly.
| Group | Content | Files | Size |
|---|---|---|---|
base |
the 566-task BA1.0 split (always downloaded) | 3 | 0.3 GB |
fig2 |
safety bars, monitor scope and attack-plan sharing | 35 | 19.2 GB |
fig3 |
safety vs usefulness, DTD vs DTR vs trusted monitoring | 29 | 15.8 GB |
fig4 |
DTD safety by attack plan | 6 | 5.2 GB |
fig5 |
decompositions and usefulness with a random trigger | 6 | 0.8 GB |
fig6 |
safety under shorter step / working-time limits | 64 | 35.6 GB |
fig7 |
status of DTD samples over 60 steps | 2 | 1.5 GB |
fig8 |
safety on overlapping vs non-overlapping test subsets | 41 | 24.0 GB |
fig9 |
safety by side-task-test remediation policy | 58 | 40.6 GB |
fig10 |
attack samples by replay deviation score | 27 | 17.9 GB |
fig11 |
text-file trigger protocol vs DTD vs trusted monitoring | 29 | 16.0 GB |
fig12 |
give up after first decomposition vs always attack | 3 | 2.7 GB |
fig13 |
safety vs up-front attack selection rate | 9 | 4.0 GB |
fig14 |
DTD attacker behaviour by child task | 10 | 11.5 GB |
fig15 |
trusted monitoring safety by attack plan | 17 | 7.1 GB |
tab1 |
four DTD variants | 15 | 6.6 GB |
tab2 |
samples affected by eval limits | 19 | 10.4 GB |
tab3 |
samples affected by the side-task-test fix | 13 | 13.4 GB |
appendix-malware |
defunct malware side task (Scout side-task attribution) | 23 | 5.1 GB |
Groups overlap, since many figures share logs; the whole dataset is 153 files, 89.4 GB.
Credentials in the transcripts are fake
BashArena plants fake secrets in every sandbox (API keys, cloud credentials, SSH keys, password hashes) for the attack-mode side tasks to target. The transcripts show agents reading and exfiltrating them. None of them are real credentials.
License
CC BY-SA 4.0, matching the license of the BashBench2 task dataset (Eccentricity/bashbench2), whose task text the transcripts contain.
Citation
Citation details will be added here once the paper is on arXiv.
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