Writing study: Jailbreak Foundry: From Papers to Runnable Attacks for Reproducible Benchmarking
← ICML 2026 oral writing corpus
Zhicheng Fang, Jingjie Zheng, Chenxu Fu, Wei Xu · Official ICML 2026 oral record
Figure, table and section ledger
Editorial contribution type: Datasets, benchmarks & measurement (primary).
Layout extraction, not a required paper template. Counts are distinct caption labels; a multi-panel figure counts once. Section spans are estimated from heading positions, including floats and whitespace. Method and limitations.
- Canonical PDF
- 43 physical pages
- Before references / appendix
- ≈ 8.75 page-equivalents
- Main figures / tables
- 4 / 1
- Attached appendix figures / tables
- 7 / 7
- Attached appendix span
- ≈ 29.91 page-equivalents
Source-bound correction: Small-cap JBF-FORGE typography suppressed Appendix K and consequently L; restore printed headings on physical pp27 and42.
Section-by-section lengths and source pages
The title/abstract/front matter precede the first numbered heading. A span ends at the next detected top-level heading, not at the last sentence; end-page whitespace is included. References and statements are listed separately. These are not measurements of text-only or artwork area.
| Top-level heading | Starts on PDF page | Estimated span | Share of entire PDF |
|---|---|---|---|
| 1. Introduction | 1 | ≈ 1.03 pp. | 2.4% |
| 2. Background and Related Work | 2 | ≈ 1.04 pp. | 2.42% |
| 3. Jailbreak Foundry (JBF) | 3 | ≈ 1.66 pp. | 3.86% |
| 4. Results and Analysis of JBF | 5 | ≈ 2.64 pp. | 6.14% |
| 5. Attack–Model Interaction Analysis | 7 | ≈ 1.33 pp. | 3.09% |
| 6. Conclusion and Future Work | 9 | ≈ 0.55 pp. | 1.28% |
| Acknowledgements | 9 | ≈ 0.05 pp. | 0.12% |
| Impact Statement | 9 | ≈ 0.11 pp. | 0.26% |
| References | 9 | ≈ 4.34 pp. | 10.09% |
| A. Attack Taxonomy | 14 | ≈ 1 pp. | 2.33% |
| B. Auditor Acceptance Criteria and Spec/Contract Checks | 15 | ≈ 2.51 pp. | 5.84% |
| C. Audit–Iteration Cap T | 17 | ≈ 0.49 pp. | 1.14% |
| D. Complexity of JBF-FORGE | 18 | ≈ 2 pp. | 4.65% |
| E. Planner/Coder/Auditor Model Ablation | 20 | ≈ 1 pp. | 2.33% |
| F. Additional Fidelity Verification Beyond ASR | 21 | ≈ 2 pp. | 4.65% |
| G. Compression Ratio Variation | 23 | ≈ 1 pp. | 2.33% |
| H. Attack Budget Comparability | 24 | ≈ 1 pp. | 2.33% |
| I. JBF-LIB Core Interfaces and Reusable Components | 25 | ≈ 1 pp. | 2.33% |
| J. JBF-EVAL Standardized Benchmark Details | 26 | ≈ 1 pp. | 2.33% |
| K. JBF-FORGE | 27 | ≈ 15 pp. | 34.88% |
| L. Enhanced Refinement Pass | 42 | ≈ 1.91 pp. | 4.44% |
All detected figure and table locations
Argument and organization
- 1 Introduction; 2 Background
Frames implementation drift and separates attack taxonomy from measurement infrastructure.
- 3 Jailbreak Foundry
Assigns contracts, synthesis and evaluation to three named components.
- 4 Results; 5 Interaction Analysis; 6 Conclusion
Separates reproduction fidelity, engineering reuse and standardized cross-model evaluation before limitations.
Problem, claim and contribution
The opening treats comparability and reproduction drift as the research problem, rather than presenting a higher attack score as the sole contribution.
Abstract and Introduction, p.1 · Main paper
Argument and section order
Paper-matched reproduction and the common-harness cross-model benchmark are distinct evaluation settings.
Sections 3.3 and 4.1, pp.4-5 · Main paper
Figures, captions and visual explanation
The overview separates synthesis, shared runtime and evaluation into three labeled blocks; the dense result table groups setup, implementation, taxonomy and scores under distinct headers.
Figure 1, p.2; Table 1, p.6 · Main paper
Tables, comparisons and evidence
The text reports both signed and absolute reproduction gaps, which prevents a near-zero mean signed gap from hiding large positive and negative discrepancies.
Section 4.2, p.5; Table 1, p.6 · Main paper
Appendix and reproducibility
Additional fidelity checks explicitly state that aggregate success rates are insufficient; a separate token-cost view explains why paper-matched budgets are not equal budgets.
Appendices F and H, pp.21,24 · Main paper
Clarity and writing conventions
The conclusion names unsupported attack interfaces and manual engineering needs, while the impact statement separates defensive evaluation value from misuse risk.
Conclusion and Impact Statement, p.9 · Main paper
What to reuse—and what not to infer
Transferable lesson: Keep implementation fidelity, standardized effectiveness and engineering cost as separate claims with separate denominators.
Boundary: Matching aggregate success rates is not semantic equivalence, and paper-matched operating points are not equal-budget rankings; no attack procedures were executed in this writing study.
Apply this lesson using the argument and evidence worksheet.
Inspection record and sources
- Checked
- 2026-10-07
- Reading status
- Writing-focused manuscript scan + selected visuals inspected
- Main text
- Writing-oriented scan of the main argument through physical p.9, with focused physical-page text inspection on 1, 3, 4, 5, 6, 7, 9. Framing, section progression, mechanism/proof explanation, displays, comparison conditions and conclusions were inspected. This is not exhaustive technical reading, proof verification or reproduction.
- Appendix / supplement
- Appendix organization and main-text pointers were checked; focused text inspection of physical pages 21, 24. Remaining appendix proofs and details were not exhaustively read. No separately linked supplement inspected.
- Visually inspected PDF pages
- 2, 6
This is a writing-focused scan of the manuscript and the stated supplementary scope: framing, organization, visual explanation, evidence presentation and wording. It is not a line-by-line proof audit, reproduction of results or exhaustive scientific review.