PyTorch implementation of adversarial attacks [torchattacks]

🛡 A curated list of adversarial attacks in PyTorch, with a focus on transferable black-box attacks.

Adversarial Attacks in PyTorch

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Pytorch lib for adversarial attacks

A utility project for training adverserial, non-adverserail models, and testing for robustness using torchattacks.

ViTとCNNの内部挙動を敵対的サンプル下で比較する実験用リポジトリ（PyTorch・Hydra・Tiny-ImageNet・torchattacks対応）

A comparative study of the Fast Gradient Sign Method (FGSM) adversarial attack using multiple libraries (Foolbox, CleverHans, Torchattacks, ART) on the CIFAR-10 dataset, highlighting differences in implementation and attack success rates.

A quantum-classical (or hybrid) neural network and the use of a adversarial attack mechanism. The core libraries employed are Quantinuum pytket and pytket-qiskit. torchattacks is used for the white-box, targetted, compounded adversarial attacks.