Pinned Repositories
pytorch-lightning
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
adversarial-training-from-mean-field-perspective
The official code for "Adversarial Training from Mean Field Perspective" [S. Kumano et al., NeurIPS23].
imagenet-japanese-labels
ImageNet日本語ラベル
imagenet-superclass
The example of correspondence between fine classes and superclass (coarse class) in ImageNet.
learning-from-adversarial-perturbations
The official code for "Theoretical Understanding of Learning from Adversarial Perturbations" [S. Kumano et al., ICLR24].
perturbation-learning
The official code for "Wide Two-Layer Networks can Learn from Adversarial Perturbations" [S. Kumano et al., NeurIPS24].
s-kumano.github.io
simple-adversarial-example-code
Simple code related to adversarial examples, attacks, and defenses.
sparse-fooling-images
The official code for "Sparse fooling images: Fooling machine perception through unrecognizable images."
s-kumano's Repositories
s-kumano/imagenet-superclass
The example of correspondence between fine classes and superclass (coarse class) in ImageNet.
s-kumano/learning-from-adversarial-perturbations
The official code for "Theoretical Understanding of Learning from Adversarial Perturbations" [S. Kumano et al., ICLR24].
s-kumano/imagenet-japanese-labels
ImageNet日本語ラベル
s-kumano/perturbation-learning
The official code for "Wide Two-Layer Networks can Learn from Adversarial Perturbations" [S. Kumano et al., NeurIPS24].
s-kumano/s-kumano.github.io
s-kumano/simple-adversarial-example-code
Simple code related to adversarial examples, attacks, and defenses.