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by hurrdurr56 921 days ago
Solution:

1. Run a large number of verified unpoisoned images through the AI poisoning algorithm

2. Create a large high-quality data set consisting of the before and after poisoning image pairs

3. Train an AI using this data set so it can detect or even reverse the poisoning

4. AI train stops for no one

1 comments

It probably can be simplified to writing an algorithm which detects that image was generated by AI (like https://deepmind.google/discover/blog/identifying-ai-generat...), and consider all AI-generated images as bad for training set by default.