This isn't very groundbreaking, they're simply discovering the inherent weaknesses in neural net learning. We've know for years that neural nets have inherent gaps in their training and this is just taking advantage of that. This isn't really an issue in a real life scenario as you wouldn't be able to determine without thousands of recursions which images produce faulty results.