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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
Before references / appendix: ≈ 30.45%References / intervening material: ≈ 14.66%Attached appendix: ≈ 54.9%Estimated layout envelopes, not text/artwork area. Unresolved appendix boundaries remain within the undivided post-body material.

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 headingStarts on PDF pageEstimated spanShare of entire PDF
1. Introduction1≈ 1.09 pp.3.76%
2. Related Work2≈ 0.51 pp.1.76%
3. Preliminary3≈ 1.03 pp.3.55%
4. GoodDiffusion4≈ 2.6 pp.8.97%
5. Experiments6≈ 1.94 pp.6.69%
6. Conclusion8≈ 0.14 pp.0.48%
Impact Statement8≈ 0.36 pp.1.24%
Acknowledgements9≈ 0.54 pp.1.86%
References9≈ 4.26 pp.14.69%
Appendix Contents14≈ 1 pp.3.45%
A. Proof15≈ 1.64 pp.5.66%
B. Additional Experiments Results16≈ 13.27 pp.45.76%
All detected figure and table locations

Argument and organization

  1. 1 Introduction; 2 Related Work; 3 Preliminary

    Defines proactive use control, diffusion bridges and the restricted white-box threat model.

  2. 4 GoodDiffusion

    Builds a static design, exposes its recovery vulnerability and replaces it with sample-specific signatures.

  3. 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.