quantinuum-hnn-compound-adv-attack-poc

Public

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.

adversarial-attacks compounded-adversarial-attack hybrid-neural-network mnist-dataset pytket pytket-qiskit quantinuum quantum-classical targetted-attacks torchattacks

Creat：2024-05-05T01:01:46

Update：2024-09-05T00:07:00

Stars

Stars Increase

Related projects

Tensorflow

deep-learning

An Open Source Machine Learning Framework for Everyone

191130

2年前

+33today

Pytorch

Hot

autograd

Tensors and Dynamic neural networks in Python with strong GPU acceleration

92264

4个月前

+79today

Keras

data-science

Deep Learning for humans

63299

4个月前

+5today

Annotated_deep_learning_paper_implementations

Hot

attention

??? 60+ Implementations/tutorials of deep learning papers with side-by-side notes ?; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), ? reinforcement learning (ppo, dqn), capsnet, distillation, ... ?

62413

4个月前

+60today