Gaiqi's Stars
CyC2018/CS-Notes
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计
xiaoyaocz/flutter_dmzj
动漫之家第三方Flutter客户端
THUYimingLi/backdoor-learning-resources
A list of backdoor learning resources
MadryLab/mnist_challenge
A challenge to explore adversarial robustness of neural networks on MNIST.
taki0112/Densenet-Tensorflow
Simple Tensorflow implementation of Densenet using Cifar10, MNIST
apache/flink-ml
Machine learning library of Apache Flink
Testzero-wz/analog
一款基于机器学习的Web日志统计分析与异常检测命令行工具
lfz/Guided-Denoise
The winning submission for NIPS 2017: Defense Against Adversarial Attack of team TSAIL
gongzhitaao/tensorflow-adversarial
Crafting adversarial images
gskielian/JPG-PNG-to-MNIST-NN-Format
Python/Bash scripts for creating custom Neural Net Training Data -- this repo is for the MNIST format
AI-secure/DBA
DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)
cihangxie/DI-2-FGSM
Improving Transferability of Adversarial Examples with Input Diversity
znxlwm/tensorflow-MNIST-cGAN-cDCGAN
Tensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (cDCGAN) for MANIST dataset.
YisenWang/MART
Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"
ftramer/ensemble-adv-training
Ensemble Adversarial Training on MNIST
as791/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.
UMBCvision/Hidden-Trigger-Backdoor-Attacks
Official Repository for the AAAI-20 paper "Hidden Trigger Backdoor Attacks"
MezereonXP/AnomalyDetectTool
A tool of detecting anomaly points from data
Curt-Park/handwritten_digit_recognition
Handwritten digit recognition with MNIST & Keras
ctargon/AdvGAN-tf
Tensorflow implementation of Generating Adversarial Examples with Adversarial Networks
HangJie720/Ensemble_Adversarial_Attack
Ensemble Adversarial Black-Box Attacks against Deep Learning Systems Trained by MNIST, USPS and GTSRB Datasets
Carco-git/CW_Attack_on_MNIST
Reproduction of cw attack on pytorch with corresponding MNIST model
rookiedata1/Keras-CNN-mnist-classification
LeNet, AleNet, VGGNet, GoogleNet, ResNet are used for MNIST dataset based on keras.
zzzxxxttt/pytorch_simple_classification_baselines
Simple pytorch classification baselines for MNIST, CIFAR and ImageNet
lincolnmi/algorithms
basic algorithms of Computer Science
ruoguang/Abnormal-check
An algorithm based on Java implementation, can automatically check the set of outliers in a set of data, eliminate these outliers, and finally get normal data.基于java实现的能够自动检查出一组数据中的异常值的集合,剔除这些异常集,得到正常数据。
srk97/targeted-adversarial-mnist
Adversarial attack on a CNN trained on MNIST dataset using Targeted I-FGSM and Targeted MI-FGM
wilsonact/LOF-java
LOF is an outlier detecting algorithm.
alexvlis/denoising-autoencoder
Denoising Autoencoder on MNIST implemented in Tensorflow
SahilC/targeted_adversarial_training
Tensorflow code to perform targeted advesarial attacks on inception v3.