tamperbench / README.md
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TamperBench (2026-10-02)
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---
license: apache-2.0
pretty_name: TamperBench
language:
- en
tags:
- clinical-ai
- llm-security
- ai-agents
- healthcare
- haarf
- quokkaguard
- synthetic
size_categories:
- 10K<n<100K
task_categories:
- other
---
# TamperBench
**A blake3-chained, ed25519-signed, externally anchored audit ledger for clinical AI agents.**
TamperBench is the benchmark corpus for *Tamper-Evident Action Provenance for Confidential Clinical AI Agents*, the `quledger` module of the QUOKKAGUARD program. It ships with the [`quledger`](https://github.com/quome-cloud/quledger) repository, which contains the `qfire` gateway layer under test, the experiment harness, and the paper.
Deterministic (seed 42), fully synthetic clinical action streams plus mutated chained audit logs spanning six audit-tampering classes (TA1 field edit, TA2 delete and truncate, TA3 reorder, TA4 forge, TA6 rollback) with labels.json ground truth; the E1 corpus is 26 tampered logs derived from a 200-entry signed and anchored fixture.
**All data are synthetic.** No real patient data or protected health information (PHI) is included; clinical content is generated from templates with fixed seeds.
## Files
| File | Size | Rows |
|---|---|---|
| `FORMAT.md` | 2 KB | |
| `fixture/anchors.jsonl` | 8 KB | 30 rows |
| `fixture/audit.jsonl` | 1 MB | 3,001 rows |
| `labels.json` | 3 KB | |
| `streams/stream-0.jsonl` | 202 KB | 1,000 rows |
| `streams/stream-1.jsonl` | 201 KB | 1,000 rows |
| `streams/stream-2.jsonl` | 202 KB | 1,000 rows |
| `streams/stream-3.jsonl` | 202 KB | 1,000 rows |
| `streams/stream-4.jsonl` | 201 KB | 1,000 rows |
| `streams/stream-5.jsonl` | 202 KB | 1,000 rows |
| `streams/stream-6.jsonl` | 202 KB | 1,000 rows |
| `streams/stream-7.jsonl` | 202 KB | 1,000 rows |
| `streams/stream-8.jsonl` | 202 KB | 1,000 rows |
| `streams/stream-9.jsonl` | 202 KB | 1,000 rows |
| `tampered/ta1_field_edit-0.jsonl` | 1 MB | 3,001 rows |
| `tampered/ta1_field_edit-1.jsonl` | 1 MB | 3,001 rows |
| `tampered/ta1_field_edit-2.jsonl` | 1 MB | 3,001 rows |
| `tampered/ta1_field_edit-3.jsonl` | 1 MB | 3,001 rows |
| `tampered/ta1_field_edit-4.jsonl` | 1 MB | 3,001 rows |
| `tampered/ta2_delete-0.jsonl` | 1 MB | 3,000 rows |
| `tampered/ta2_delete-1.jsonl` | 1 MB | 3,000 rows |
| `tampered/ta2_delete-2.jsonl` | 1 MB | 3,000 rows |
| `tampered/ta2_delete-3.jsonl` | 1 MB | 3,000 rows |
| `tampered/ta2_delete-4.jsonl` | 1 MB | 3,000 rows |
| `tampered/ta2_truncate-0.jsonl` | 163 KB | 358 rows |
| `tampered/ta2_truncate-1.jsonl` | 1 MB | 2,420 rows |
| `tampered/ta2_truncate-2.jsonl` | 788 KB | 1,730 rows |
| `tampered/ta2_truncate-3.jsonl` | 60 KB | 132 rows |
| `tampered/ta2_truncate-4.jsonl` | 56 KB | 124 rows |
| `tampered/ta3_reorder-0.jsonl` | 1 MB | 3,001 rows |
| `tampered/ta3_reorder-1.jsonl` | 1 MB | 3,001 rows |
| `tampered/ta3_reorder-2.jsonl` | 1 MB | 3,001 rows |
| `tampered/ta3_reorder-3.jsonl` | 1 MB | 3,001 rows |
| `tampered/ta3_reorder-4.jsonl` | 1 MB | 3,001 rows |
| `tampered/ta4_forge-0.jsonl` | 1 MB | 3,002 rows |
| `tampered/ta4_forge-1.jsonl` | 1 MB | 3,002 rows |
| `tampered/ta4_forge-2.jsonl` | 1 MB | 3,002 rows |
| `tampered/ta4_forge-3.jsonl` | 1 MB | 3,002 rows |
| `tampered/ta4_forge-4.jsonl` | 1 MB | 3,002 rows |
| `tampered/ta6_rollback-0.anchors.jsonl` | 8 KB | 30 rows |
| `tampered/ta6_rollback-0.jsonl` | 683 KB | 1,500 rows |
### Record schemas
- `fixture/anchors.jsonl`: `seq`, `merkle_root`, `ts`, `sig`
- `fixture/audit.jsonl`: `seq`, `ts`, `kind`, `body`, `prev_hash`, `this_hash`, `sig`
- `streams/stream-0.jsonl`: `action`, `actor`, `decision`, `detail`, `event_id`, `patient_ref`, `stream`, `ts_epoch`, `unit`
- `streams/stream-1.jsonl`: `action`, `actor`, `decision`, `detail`, `event_id`, `patient_ref`, `stream`, `ts_epoch`, `unit`
- `streams/stream-2.jsonl`: `action`, `actor`, `decision`, `detail`, `event_id`, `patient_ref`, `stream`, `ts_epoch`, `unit`
- `streams/stream-3.jsonl`: `action`, `actor`, `decision`, `detail`, `event_id`, `patient_ref`, `stream`, `ts_epoch`, `unit`
- `streams/stream-4.jsonl`: `action`, `actor`, `decision`, `detail`, `event_id`, `patient_ref`, `stream`, `ts_epoch`, `unit`
- `streams/stream-5.jsonl`: `action`, `actor`, `decision`, `detail`, `event_id`, `patient_ref`, `stream`, `ts_epoch`, `unit`
- `streams/stream-6.jsonl`: `action`, `actor`, `decision`, `detail`, `event_id`, `patient_ref`, `stream`, `ts_epoch`, `unit`
- `streams/stream-7.jsonl`: `action`, `actor`, `decision`, `detail`, `event_id`, `patient_ref`, `stream`, `ts_epoch`, `unit`
- `streams/stream-8.jsonl`: `action`, `actor`, `decision`, `detail`, `event_id`, `patient_ref`, `stream`, `ts_epoch`, `unit`
- `streams/stream-9.jsonl`: `action`, `actor`, `decision`, `detail`, `event_id`, `patient_ref`, `stream`, `ts_epoch`, `unit`
- `tampered/ta1_field_edit-0.jsonl`: `seq`, `ts`, `kind`, `body`, `prev_hash`, `this_hash`, `sig`
- `tampered/ta1_field_edit-1.jsonl`: `seq`, `ts`, `kind`, `body`, `prev_hash`, `this_hash`, `sig`
- `tampered/ta1_field_edit-2.jsonl`: `seq`, `ts`, `kind`, `body`, `prev_hash`, `this_hash`, `sig`
- `tampered/ta1_field_edit-3.jsonl`: `seq`, `ts`, `kind`, `body`, `prev_hash`, `this_hash`, `sig`
- `tampered/ta1_field_edit-4.jsonl`: `seq`, `ts`, `kind`, `body`, `prev_hash`, `this_hash`, `sig`
- `tampered/ta2_delete-0.jsonl`: `seq`, `ts`, `kind`, `body`, `prev_hash`, `this_hash`, `sig`
- `tampered/ta2_delete-1.jsonl`: `seq`, `ts`, `kind`, `body`, `prev_hash`, `this_hash`, `sig`
- `tampered/ta2_delete-2.jsonl`: `seq`, `ts`, `kind`, `body`, `prev_hash`, `this_hash`, `sig`
- `tampered/ta2_delete-3.jsonl`: `seq`, `ts`, `kind`, `body`, `prev_hash`, `this_hash`, `sig`
- `tampered/ta2_delete-4.jsonl`: `seq`, `ts`, `kind`, `body`, `prev_hash`, `this_hash`, `sig`
- `tampered/ta2_truncate-0.jsonl`: `seq`, `ts`, `kind`, `body`, `prev_hash`, `this_hash`, `sig`
- `tampered/ta2_truncate-1.jsonl`: `seq`, `ts`, `kind`, `body`, `prev_hash`, `this_hash`, `sig`
- `tampered/ta2_truncate-2.jsonl`: `seq`, `ts`, `kind`, `body`, `prev_hash`, `this_hash`, `sig`
- `tampered/ta2_truncate-3.jsonl`: `seq`, `ts`, `kind`, `body`, `prev_hash`, `this_hash`, `sig`
- `tampered/ta2_truncate-4.jsonl`: `seq`, `ts`, `kind`, `body`, `prev_hash`, `this_hash`, `sig`
- `tampered/ta3_reorder-0.jsonl`: `seq`, `ts`, `kind`, `body`, `prev_hash`, `this_hash`, `sig`
- `tampered/ta3_reorder-1.jsonl`: `seq`, `ts`, `kind`, `body`, `prev_hash`, `this_hash`, `sig`
- `tampered/ta3_reorder-2.jsonl`: `seq`, `ts`, `kind`, `body`, `prev_hash`, `this_hash`, `sig`
- `tampered/ta3_reorder-3.jsonl`: `seq`, `ts`, `kind`, `body`, `prev_hash`, `this_hash`, `sig`
- `tampered/ta3_reorder-4.jsonl`: `seq`, `ts`, `kind`, `body`, `prev_hash`, `this_hash`, `sig`
- `tampered/ta4_forge-0.jsonl`: `seq`, `ts`, `kind`, `body`, `prev_hash`, `this_hash`, `sig`
- `tampered/ta4_forge-1.jsonl`: `seq`, `ts`, `kind`, `body`, `prev_hash`, `this_hash`, `sig`
- `tampered/ta4_forge-2.jsonl`: `seq`, `ts`, `kind`, `body`, `prev_hash`, `this_hash`, `sig`
- `tampered/ta4_forge-3.jsonl`: `seq`, `ts`, `kind`, `body`, `prev_hash`, `this_hash`, `sig`
- `tampered/ta4_forge-4.jsonl`: `seq`, `ts`, `kind`, `body`, `prev_hash`, `this_hash`, `sig`
- `tampered/ta6_rollback-0.anchors.jsonl`: `seq`, `merkle_root`, `ts`, `sig`
- `tampered/ta6_rollback-0.jsonl`: `seq`, `ts`, `kind`, `body`, `prev_hash`, `this_hash`, `sig`
## How it was generated
The corpus is produced by the generator in the paper repository and is fully deterministic (fixed seeds), so it can be regenerated byte-for-byte.
```bash
# from the quledger repository root (deterministic seeds)
cargo build --release && cargo test --release --test audit_tamper -- --ignored --exact export_fixture && python3 scripts/003-tamper-audit/tamper.py --log datasets/003-tamper-audit/fixture/audit.jsonl --anchors datasets/003-tamper-audit/fixture/anchors.jsonl --out datasets/003-tamper-audit/tampered --per-class 5 --seed 42 && python3 scripts/003-tamper-audit/gen.py --out datasets/003-tamper-audit/streams --streams 10 --events 1000 --seed 42
```
## Intended use
Evaluating the **audit** enforcement layer of a clinical-agent security gateway (HAARF control C2): An adversarial agent, a compromised host process, or a privileged operator can silently rewrite, drop, reorder, or roll back a clinical agent's action log, defeating the traceability HAARF C2 requires.
The experiments that consume it (E-series in the paper) are reproduced from the repository:
```bash
git clone https://github.com/quome-cloud/quledger
cd quledger
cargo build --release
```
then follow the *Reproduce the experiments* section of its README.
## Citation
This benchmark was built to evaluate a control of the **Healthcare AI Agents Regulatory Framework (HAARF)**, the source framework for the QUOKKAGUARD program. Please cite both the paper and HAARF:
```bibtex
@unpublished{schwoebel2026quledger,
author = {Schwoebel, James},
title = {Tamper-Evident Action Provenance for Confidential Clinical AI Agents},
note = {Preprint. Quome, QUOKKAGUARD program (quledger module)},
year = {2026},
url = {https://github.com/quome-cloud/quledger}
}
@unpublished{schwoebel2026haarf,
author = {Schwoebel, Jim and Frasch, Martin and Spalding, Art and Sewell, Ed and Englert, Phil and Halpert, Ben and Overbay, Collin and Semenec, Ingrida and Shor, Joel},
title = {{HAARF}: Healthcare {AI} agents regulatory framework --- a comprehensive security verification standard for autonomous {AI} systems in clinical environments},
note = {medRxiv Preprint},
year = {2026},
month = {April},
doi = {10.64898/2026.04.09.26350519},
url = {https://www.medrxiv.org/content/10.64898/2026.04.09.26350519v1}
}
```
## License
Apache License 2.0. Copyright (c) 2026 Quome, Inc.