WOUAF: Weight Modulation for User Attribution and Fingerprinting in Text-to-Image Diffusion Models (CVPR 2024)
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Updated
Jun 14, 2024 - Jupyter Notebook
WOUAF: Weight Modulation for User Attribution and Fingerprinting in Text-to-Image Diffusion Models (CVPR 2024)
Real-time probabilistic identity resolution engine for streaming platforms. Resolves multi-user attribution with 78% accuracy at <100ms latency. GDPR/CCPA compliant.
Complete AWS-Globus OIDC Integration with automated user attribution, cost management, and access control. Solves the challenge of tracking individual users when everyone shares the same IAM role through federated authentication.
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