Latent representation
The input is encoded with the VAE encoder and represented in latent space.
NoiseGuard explores adversarial image perturbations that aim to alter learned representations while keeping the visible image close to the original.
Stable Diffusion VAE encoder/decoder · PGD · MIRAGE surrogate
The prototype uses a frozen VAE to work with image representations, then applies two optimization stages before decoding the protected image.
The input is encoded with the VAE encoder and represented in latent space.
PGD and MIRAGE optimize the image while keeping perturbations within the configured budget.
The tool returns the protected image, reconstruction, latent statistics, and optimization loss information.