Pinned Repositories
828i_f20
adversarial-attacks-pytorch
PyTorch implementation of adversarial attacks.
Adversarial_Content_Attack
[NeurIPS 2023] Content-based Unrestricted Adversarial Attack
Adversarial_Machine_Learning_Tensorflow
Tensorflow implementation of various adversarial attacks and adversarial training.
AutoX
A UiAutomator on android, does not need root access(安卓平台上的JavaScript自动化工具)
BATIF
BlackBoxAttackDNN
Neural Networks exam project. Machine learning algorithm: implementation of FGSM and JSMA attacks by Goodfellow and Papernot.
blockchain
区块链 - 中文资源
dict_build
新词发现
it-ebooks-cn
计算机电子书pdf整理 http://it-ebooks.flygon.net/
hechenghai's Repositories
hechenghai/Adversarial_Machine_Learning_Tensorflow
Tensorflow implementation of various adversarial attacks and adversarial training.
hechenghai/BlackBoxAttackDNN
Neural Networks exam project. Machine learning algorithm: implementation of FGSM and JSMA attacks by Goodfellow and Papernot.
hechenghai/828i_f20
hechenghai/adversarial-attacks-pytorch
PyTorch implementation of adversarial attacks.
hechenghai/Adversarial_Content_Attack
[NeurIPS 2023] Content-based Unrestricted Adversarial Attack
hechenghai/AutoX
A UiAutomator on android, does not need root access(安卓平台上的JavaScript自动化工具)
hechenghai/BATIF
hechenghai/cifar10_challenge
A challenge to explore adversarial robustness of neural networks on CIFAR10.
hechenghai/Conditional-Sampling-Optimization-CSO-
hechenghai/Coreference
hechenghai/CorefExample
hechenghai/Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
hechenghai/deep-coref-master
hechenghai/DeepFool
A simple and accurate method to fool deep neural networks
hechenghai/ImageNetV2
A new test set for ImageNet
hechenghai/M-PGD-adversarial-training
hechenghai/MachineLearningByTensorFlow
用TensorFlow实现Machine Learning 算法
hechenghai/ML-Tutorial-Experiment
Coding the Machine Learning Tutorial for Learning to Learn
hechenghai/MLsecurity
机器学习安全相关论文、代码
hechenghai/MMdnn
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
hechenghai/mnist_challenge
A challenge to explore adversarial robustness of neural networks on MNIST.
hechenghai/Motivating-Adversarial-Robustness-with-Moment-PGD
hechenghai/Neural-Network-Architecture-Diagrams
Diagrams for visualizing neural network architecture (Created with diagrams.net)
hechenghai/nn_robust_attacks
Robust evasion attacks against neural network to find adversarial examples
hechenghai/Non-Targeted-Adversarial-Attacks
A non-targeted adversarial attack method, which won the first place in NIPS 2017 non-targeted adversarial attacks competition
hechenghai/PlotNeuralNet
Latex code for making neural networks diagrams
hechenghai/pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
hechenghai/Riskfolio-Lib
Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
hechenghai/saliency
Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).
hechenghai/wubiuefi
fork of Wubi (https://launchpad.net/wubi) for UEFI support and for support of recent Ubuntu releases