zlacker

Nightshade and glaze are basically adversarial attacks on various commonly used subcomponents of image generators, most notably the CLIP image captioner, which is both used to generate training data and as part of the generation process.

Like most adversarial attacks, they get more perceptible as they try to be robust to more transformations of the data (both in practice, i.e. applied to a level that's non-trivially removable, tend to make images look like slightly janky AI, ironically), and they are specific to the net(s) they are targeting, so it's more of a temporary defense against the current generation then a long-term protection.