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This repository contains the implementation for the paper "AquaLoRA: Toward White-box Protection for Customized Stable Diffusion Models via Watermark LoRA", accepted by ICML 2024.
Hi there! I've trained the secret encoder and decoder in the Latent Watermark Pre-training stage using such shell script:
python latent_wm_pretrain.py --output_dir test --epochs 40 --dataset coco2017/train2017
and it turned out that the bit accuracy was about 50%, which means that the secret encoder failed to learn.
The output log is below:
Is there anything where I've done wrong? Thanks a lot!
Hi,
This work is very good but I still have some problems.
How to calculate the TPR (FPR=10^-6) for other methods like Stable Signature? How to set the threshold in Stable Signature which you did not mention in your paper? Does it mean you extract the watermark from the original images without watermarks and calculate the FPR and TPR?
Waiting for your reply. Thank you very much.
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