Brynnx

Brynnx's Stars

• ylsung/pytorch-adversarial-training

  PyTorch-1.0 implementation for the adversarial training on MNIST/CIFAR-10 and visualization on robustness classifier.

  Language:Python24065

• jmhIcoding/flowcontainer

  从pcap获取流的基本信息工具

  Language:Python18021

• Dawn-David/DeepFool_MNIST

  Based on Pytorch, the Adversarial Attack algorithm DeepFool, targeting the Mnist data set and ResNet18 network

  Language:Jupyter Notebook162

• BeStrongok/Malicious-Traffic-Classification

  Use deep learning to classify the malicious traffic, and use TensorFlow2.0 to carry out it.

  Language:Jupyter Notebook315

• RAKIYOU/Attacking-Deep-Learning-with-Adversarial-Examples

  A implementation of FGSM to attack CNNs based on PyTorch.

  Language:Jupyter Notebook3

• mahyarnajibi/FreeAdversarialTraining

  PyTorch Implementation of Adversarial Training for Free!

  Language:Python23741

• locuslab/fast_adversarial

  [ICLR 2020] A repository for extremely fast adversarial training using FGSM

  Language:Python42593

• makhanov/CNN_pytorch_adversarial_attack_Fashion_MNIST

  Repository consists of pre-trained CNN model in pytorch, hitting 89% on Fashion MNIST dataset. Adversarial attack was implemented on a given model. Results are below.

  Language:Python22

• WithHades/network_traffic_classification_paper

  收集了部分将机器学习应用于网络流量分类的论文

  15025

• eastmountyxz/ImageProcessing-Python

  该资源为作者在CSDN的撰写Python图像处理文章的支撑，主要是Python实现图像处理、图像识别、图像分类等算法代码实现，希望该资源对您有所帮助，一起加油。

  Language:Jupyter Notebook1.8k448

• MyRespect/AdversarialAttack

  The FGSM, DeepFool and CW Adversarial Attacks with TensorFlow 2.0

  Language:Python285

• AidenZhang1998/Network-traffic-classification

  《基于卷积神经网络（CNN）的网络流量分类》优秀本科毕设相关文档

  486

• duoergun0729/adversarial_examples

  对抗样本

  Language:Jupyter Notebook259111

• yungshenglu/USTC-TK2016

  Toolkit for processing PCAP file and transform into image of MNIST dataset

  Language:Python20462

• yungshenglu/USTC-TFC2016

  Traffic dataset USTC-TFC2016

  10428

• echowei/DeepTraffic

  Deep Learning models for network traffic classification

  Language:Python667297

• moononournation/M5Stack-Cam-Viewer

  Arduino M5Cam viewer for M5Stack

  Language:C++3317

• m5stack/M5Stack

  M5Stack Arduino Library

  Language:C1.2k428

• m5stack/M5Stack-Camera

  Base espressif esp32-camera

  Language:C202104

• Brynnx/1ZLAB_ESP32_Wifi_Camera

  ESP-Cam是一款基于ESP32芯片的开源WIFI摄像头, 本仓库存放关于ESP-Cam的使用教程与相关开发资料. 同时本教程还提供了Ubuntu下配置ESP-IDF开发环境的教程,以及ESP-CAM源码修改与固件编译烧录的教程.

  1

• espressif/esp-idf

  Espressif IoT Development Framework. Official development framework for Espressif SoCs.

  Language:C13.5k7.3k