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Adversarial setting. People will train models on adversarial detectors to hide from them. The comments in this article have deeply studied the method you're su
by hiddencost 3y ago
Adversarial setting. People will train models on adversarial detectors to hide from them.
The comments in this article have deeply studied the method you're suggesting.
- ang_cire 3y agoWhich is pointless in targeted models like I'm talking about. If I train a model that is *only* trying to detect e.g. stable-diffusion-2-1, training an adversarial model is pointless, because then you're just using a different model anyways. You would be spending a lot of training time when you could just use another already-extant model. State actors, for example, don't need to use public models for their generators anyways, so it's not like non-state actors would have true-positive images to train models on to counter said actors' models.