Writing study: GoodDiffusion: Proactive Copyright Protection for Diffusion Bridge Models via Learnable Sample-specific Signatures
← ICML 2026 oral writing corpus
Shixi Qin, Zhiyong Yang, Shilong Bao, Zitai Wang, Qianqian Xu, Qingming Huang · Official ICML 2026 oral record
Figure, table and section ledger
Editorial contribution type: Training, objectives & optimization (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
- 29 physical pages
- Before references / appendix
- ≈ 8.83 page-equivalents
- Main figures / tables
- 4 / 2
- Attached appendix figures / tables
- 8 / 7
- Attached appendix span
- ≈ 15.92 page-equivalents
Source-bound correction: The supporting-material envelope starts with the printed Appendix Contents page14, before Appendix A on page15.
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 | ≈ 1.09 pp. | 3.76% |
| 2. Related Work | 2 | ≈ 0.51 pp. | 1.76% |
| 3. Preliminary | 3 | ≈ 1.03 pp. | 3.55% |
| 4. GoodDiffusion | 4 | ≈ 2.6 pp. | 8.97% |
| 5. Experiments | 6 | ≈ 1.94 pp. | 6.69% |
| 6. Conclusion | 8 | ≈ 0.14 pp. | 0.48% |
| Impact Statement | 8 | ≈ 0.36 pp. | 1.24% |
| Acknowledgements | 9 | ≈ 0.54 pp. | 1.86% |
| References | 9 | ≈ 4.26 pp. | 14.69% |
| Appendix Contents | 14 | ≈ 1 pp. | 3.45% |
| A. Proof | 15 | ≈ 1.64 pp. | 5.66% |
| B. Additional Experiments Results | 16 | ≈ 13.27 pp. | 45.76% |
All detected figure and table locations
Argument and organization
- 1 Introduction; 2 Related Work; 3 Preliminary
Defines proactive use control, diffusion bridges and the restricted white-box threat model.
- 4 GoodDiffusion
Builds a static design, exposes its recovery vulnerability and replaces it with sample-specific signatures.
- 5 Experiments; 6 Conclusion
Separates authorized quality, unauthorized blocking and surrogate-signature recovery tests.
Problem, claim and contribution
The operational goal is use-time model authorization with a separately held signature service, which is narrower than establishing legal copyright protection.
Introduction, p.1; threat model, p.3 · Main paper
Argument and section order
A deliberately naive static signature and its vulnerability motivate the input-dependent signature network, providing a problem-solution sequence inside the method.
Sections 4.3-4.5, p.5 · Main paper
Figures, captions and visual explanation
The overview contrasts authorized and warning trajectories, and the results grid aligns tasks, signatures, model variants and targets; a separate metric panel distinguishes authorized, normal and unauthorized outputs.
Figure 1, p.4; Figures 2-3, p.8 · Main paper
Tables, comparisons and evidence
Abuse and erroneous-denial rates are defined by image-distance thresholds, while the reported surrogate recovery uses a specified bounded optimization budget.
Section 5.2, p.7; implementation details, p.17 · Main paper
Appendix and reproducibility
The proof assumes Gaussian distributions, an invertible linear corruption and an exact score model; importantly, the fine-tuning appendix reports blocking failure after 50 steps.
Appendix A, p.15; Appendix B.6 and Table 5, pp.18-19 · Main paper
Clarity and writing conventions
The main text uses categorical blocking language, but the appendix limits the adversary resource assumption and shows a successful fine-tuning route, so the prose should be read conditionally.
Conclusion, p.8; Appendix B.6, p.18 · Main paper
What to reuse—and what not to infer
Transferable lesson: Make attack access, optimization budget and failure modes part of the headline claim, not merely supporting implementation detail.
Boundary: The experiments do not certify unrestricted white-box security or legal copyright compliance. The appendix explicitly reports a fine-tuning failure, and static-signature theory relies on idealized assumptions.
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, 8, 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 15, 17, 18, 19, 22. Remaining appendix proofs and details were not exhaustively read. No separately linked supplement inspected.
- Visually inspected PDF pages
- 4, 8
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.