PromptForge-350k: A Large-Scale Dataset and Contrastive Framework for Prompt-Based AI Image Forgery Localization
The rapid democratization of prompt-based AI image editing has recently exacerbated the risks associated with malicious content fabrication and misinformation. However, forgery localization methods targeting these emerging editing techniques remain significantly under-explored. To bridge this gap, we first introduce a fully automated mask annotating framework that leverages keypoint alignment and semantic space similarity to generate precise ground-truth masks for edited regions. Based on this f
Record details
Published: 31 March 2026
Source: arXiv
Category: Research
Topics: Safety & alignment · Misinformation
Retrieved: 14 July 2026
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ethics.ai (31 March 2026), “PromptForge-350k: A Large-Scale Dataset and Contrastive Framework for Prompt-Based AI Image Forgery Localization,” evidence record 6561, https://ethics.ai/record/6561 (originally published by arXiv).
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