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These don't actually work. Adversarial optimization is largely model-specific.

This was the most surprising aspect to me, that such a solution would apparently work robustly? Does the paper cover this?

They claim it's not future proof, but does it actually work now?

Does it actually work now if you img2img your input files, or do any type of detection that a tool like Nightshade may be in use?

none of these solutions (especially for images) are robust at all. fundamentally this is not a technology that is going to work

Curious if you have a resource to read that shows this?