Pinned Repositories
adversarial-attacks-pytorch
PyTorch implementation of adversarial attacks [torchattacks].
Adversarial-Example-Attack-and-Defense
This repository contains the implementation of three adversarial example attack methods FGSM, IFGSM, MI-FGSM and one Distillation as defense against all attacks using MNIST dataset.
auto-attack
Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"
cnn_hnn_comparison_analysis
A comparison analysis between classical and quantum-classical (or hybrid) neural network and the impact effectiveness of a compound adversarial attack.
dimensionality_reduction_alo_codes
特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现
dr-hqcl
In medical applications with limited training data, traditional self-supervised deep learning struggles for accuracy. This study combines self-supervised learning with Variational Quantum Classifiers (VQC) and Principal Component Analysis (PCA) for dimensionality reduction.
EVCS
Non-Targeted-Adversarial-Attacks
A non-targeted adversarial attack method, which won the first place in NIPS 2017 non-targeted adversarial attacks competition
qlstm
Example of a Quantum LSTM
QSVM
Comparison of quantum-enhanced SVM with classical SVM using the well-known Iris dataset.
MaChong158's Repositories
MaChong158/adversarial-attacks-pytorch
PyTorch implementation of adversarial attacks [torchattacks].
MaChong158/Adversarial-Example-Attack-and-Defense
This repository contains the implementation of three adversarial example attack methods FGSM, IFGSM, MI-FGSM and one Distillation as defense against all attacks using MNIST dataset.
MaChong158/auto-attack
Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"
MaChong158/cnn_hnn_comparison_analysis
A comparison analysis between classical and quantum-classical (or hybrid) neural network and the impact effectiveness of a compound adversarial attack.
MaChong158/dimensionality_reduction_alo_codes
特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现
MaChong158/dr-hqcl
In medical applications with limited training data, traditional self-supervised deep learning struggles for accuracy. This study combines self-supervised learning with Variational Quantum Classifiers (VQC) and Principal Component Analysis (PCA) for dimensionality reduction.
MaChong158/EVCS
MaChong158/Non-Targeted-Adversarial-Attacks
A non-targeted adversarial attack method, which won the first place in NIPS 2017 non-targeted adversarial attacks competition
MaChong158/qlstm
Example of a Quantum LSTM
MaChong158/QSVM
Comparison of quantum-enhanced SVM with classical SVM using the well-known Iris dataset.
MaChong158/quantum-cnn
Quantum convolutional neural network for classical data classification与我参考的QNN卷积算法相同
MaChong158/QuantumPhotonicTransformer
QPT is a hybrid quantum-classical Transformer implementation.
MaChong158/SoftServe_QLSTM
We implement a quantum-classical hybrid QLSTM model by incorporating quantum variational layers into the classical LSTM in order to improve the efficiency and trainability of LSTM for better stock price prediction.