@lhfowl Thank you for providing some of the poisoned images from CIFAR-10. But I have a doubt that the images are randomly distributed, do I have to manually label them and then train them or can you suggest some better way to use them directly for training. And I also implemented an untargeted attack by anneal.py, it results in poisoned images, do I have to manually anottate them by identifying the 10 different classes in CIFAR-10. If you can please clear my doubt it will be a great help.
@lhfowl Thank you for providing some of the poisoned images from CIFAR-10. But I have a doubt that the images are randomly distributed, do I have to manually label them and then train them or can you suggest some better way to use them directly for training. And I also implemented an untargeted attack by anneal.py, it results in poisoned images, do I have to manually anottate them by identifying the 10 different classes in CIFAR-10. If you can please clear my doubt it will be a great help.