> What are the best defenses for AI builders against malicious tools like this one? Technically? Incorporate Glaze into the training process. Glaze takes adva

> What are the best defenses for AI builders against malicious tools like this one? Technically? Incorporate Glaze into the training process. Glaze takes advantage of an ML model's fragility towards noise and uses that against the model. The simplest way of incorporation is to run Glaze on all of the training data, whilst duplicating Glaze, reductively speaking, is the adversarial part of a GAN, wherein MidJourney/SD is the generator part of the whole system. What's happening now is that the adversarial part of the GAN is purposefully producing noise to throw the generator off of its rocking horse, and now the generator needs to learn to "remove" said noise when training.