CAIAMAR employs multi-agent reasoning for context-aware PII anonymization in images, cutting re-identification risks by 73% on benchmarks while maintaining high image quality.
Does image anonymiza- tion impact computer vision training? InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, pages 140–150
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Towards Context-Aware Image Anonymization with Multi-Agent Reasoning
CAIAMAR employs multi-agent reasoning for context-aware PII anonymization in images, cutting re-identification risks by 73% on benchmarks while maintaining high image quality.