Adversarial Vulnerability and Defenses in Deep Image Restoration: A Structured Review with SAR Despeckling as a Case Study

This workbook contains the complete search, screening and data-extraction record supporting the structured review "Adversarial Vulnerability and Defenses in Deep Image Restoration: A Structured Review with SAR Despeckling as a Case Study" (Fatnassi & Baccari, 2026). It includes: the search strings and dates for each database searched (Lens.org, IEEE Xplore, ACM Digital Library, and supplementary arXiv searches); the full candidate record list with title-and-abstract screening decisions; the full-text extraction sheet recording the threat model, attack, defense, and headline results for each of the 37 included studies; the list of studies excluded at the full-text stage with reasons; the second reviewer's independent re-screening sample and inter-rater agreement statistics; and the flow-diagram reconciliation of study counts at each screening stage.