Writing study: Black-box Membership Inference Attacks on the Pre-training Data of Image-generation Models
← CVPR 2026 oral writing corpus
Tao Qi, Huili Wang, Yuanhong Huang, Wendan Wang, Lianchao Zhao, Jinrui Wang, Zichen Qin, Shangguang Wang, Yongfeng Huang · Official CVPR 2026 oral record
Figure, table and section ledger
Editorial contribution type: Empirical analysis, diagnosis & auditing (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
- 10 physical pages
- Before references / appendix
- ≈ 8.14 page-equivalents
- Main figures / tables
- 7 / 1
- Attached appendix figures / tables
- 0 / 0
- Attached appendix span
- Separate file recorded below; not in this PDF total
Extraction notes: No attached appendix boundary detected. Zero means no recognized caption, not independently verified absence.
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.
All detected figure and table locations
Main text
Attached appendix
No recognized caption labels.
Separate source files—excluded from canonical-PDF totals
A separate author version may repeat main text and references. Whole-file lengths and counts are not extra appendix material and are never added to the canonical PDF totals. Read the study's source scope for which sections received substantive reading versus layout inspection.
Additional source 1
Separate PDF (or ZIP containing it): whole-file layout of 3 physical pages; 2 detected figures and 2 tables. These may include overlapping main-text material.
Located appendix only: starts on physical p.1; ≈ 2.95 page-equivalents, 2 figure labels and 2 table labels. This interval is distinct from the whole file.
| Detected heading | PDF page | Estimated span |
|---|---|---|
| 6. Appendix | 1 | ≈ 2.95 pp. |
Argument and organization
- Problem and contribution
Separates weak pre-training memorization from easier fine-tuning membership experiments before introducing the cross-modal intervention.
- Argument sequence
States black-box access assumptions before motivation, perturbation construction, estimator and evaluation; this makes unavailable internal signals explicit.
- Evidence and verification
Table 1 repeats identical metric columns for balanced and imbalanced sampling and reports variability rather than collapsing all models into one gain.
Problem, claim and contribution
Separates weak pre-training memorization from easier fine-tuning membership experiments before introducing the cross-modal intervention.
Sections 1–2, pp. 1–2 · Main paper · Additional source 2
Argument and section order
States black-box access assumptions before motivation, perturbation construction, estimator and evaluation; this makes unavailable internal signals explicit.
Sections 3.1–4.1, pp. 2–6 · Main paper · Additional source 2
Figures, captions and visual explanation
Figure 2 puts visual and textual perturbation distributions side by side with shared member/non-member colors and explicit probability-density axes.
Figure 2, p. 4 · Main paper · Additional source 2
Tables, comparisons and evidence
Table 1 repeats identical metric columns for balanced and imbalanced sampling and reports variability rather than collapsing all models into one gain.
Table 1, p. 6 · Main paper · Additional source 2
Appendix and reproducibility
The supplement separates baseline access levels, diagnostic representation evidence, query-count trade-offs and literal perturbation prompts.
Supplement Sections 6.2–6.8, pp. 1–3 · Main paper · Additional source 2
Clarity and writing conventions
The run-in 'Our insight' heading separates an explanatory hypothesis from the preceding failure analysis.
Section 3.2, p. 4 · Main paper · Additional source 2
What to reuse—and what not to infer
Transferable lesson: Pair a diagnostic contrast with access-matched evaluation and state what repeated-generation budget buys.
Boundary: Near-chance embedding classification and a two-dimensional PCA plot do not establish complete absence of dataset bias; avoid repeating that stronger wording as a general guarantee.
Apply this lesson using the argument and evidence worksheet.
Inspection record and sources
- Checked
- 2026-09-26
- Reading status
- Writing-focused manuscript scan + selected visuals inspected
- Main text
- Writing-oriented scan throughout Sections 1–5, PDF pp. 1–8; reference boundary pp. 9–10: abstract/framing, section sequence, figure/table captions, evaluation organization and conclusions; not an exhaustive technical verification.
- Appendix / supplement
- Writing-oriented supplement scan: Supplement Sections 6.1–6.8, pp. 1–3, including access assumptions, gray-box diagnostic support, generation budgets and actual prompts. Video/code assets were not executed or assessed.
- Visually inspected PDF pages
- 4, 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.
- Official CVF open-access CVPR 2026 accepted-paper PDF · 10 pages
- Official CVF supplementary PDF · 3 pages