"Nearly Zero-Cost Protection Against Mimicry by Personalized Diffusion Models"

FastProtect makes AI art protection instant by pre-training defense patterns instead of calculating them live.

FastProtect enables real-time protection against AI mimicry by using pre-trained perturbations and adaptive inference, making image protection 200-3500x faster than existing methods.

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https://arxiv.org/abs/2412.11423

🔍 Original Problem:

Current image protection methods against AI mimicry are slow and computationally expensive, taking 5-120 minutes on CPU and 7-200 seconds on GPU for a 512x512 pixel image, making them impractical for everyday use.

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⚡ Solution in this Paper:

→ FastProtect introduces a Mixture-of-Perturbations (MoP) approach that pre-trains multiple perturbations instead of computing them at runtime

→ The system dynamically selects appropriate perturbations based on input image features using a VAE encoder

→ Multi-Layer Protection loss leverages intermediate VAE features to enhance protection without additional inference cost

→ Adaptive targeted protection selects target images based on pattern repetition matching

→ Adaptive protection strength uses LPIPS distance to adjust perturbation visibility

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🎯 Key Insights:

→ Pre-training perturbations drastically reduces computation time compared to runtime optimization

→ Multiple specialized perturbations perform better than a single universal one

→ Pattern repetition in target images significantly affects protection efficacy

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📊 Results:

→ 200-3500x faster than existing methods

→ Processes 2048x2048 images in real-time

→ Only 0.04s on GPU and 2.9s on CPU for 512x512 images

→ Maintains comparable protection efficacy to slower methods