jiaxingxx

jiaxingxx's Stars

• cg563/low-frequency-adversarial

  Language:Jupyter Notebook262

• LiangSiyuan21/Parallel-Rectangle-Flip-Attack-A-Query-based-Black-box-Attack-against-Object-Detection

  A Implementation of ICCV-2021(Parallel Rectangle Flip Attack: A Query-based Black-box Attack against Object Detection)

  Language:Python281

• Trustworthy-AI-Group/TransferAttack

  TransferAttack is a pytorch framework to boost the adversarial transferability for image classification.

  Language:Python31244

• bubbliiiing/facenet-pytorch

  这是一个facenet-pytorch的库，可以用于训练自己的人脸识别模型。

  Language:Python442105

• Elegycloud/clash-for-linux-backup

  基于Clash Core 制作的Clash For Linux备份仓库 A Clash For Linux Backup Warehouse Based on Clash Core

  Language:Shell2.7k1.1k

• CompVis/stable-diffusion

  A latent text-to-image diffusion model

  Language:Jupyter Notebook69k10.2k

• Stability-AI/generative-models

  Generative Models by Stability AI

  Language:Python25k2.8k

• vueact/vueact-parse

  Coming soon

  2

• s4nyam/gradcam-yolo

  Paper https://arxiv.org/pdf/2306.06071.pdf Analysing how adversarial attacks aaffect YOLO Object Detection and visualising GradCAM

  Language:Jupyter Notebook124

• IBM/BadDiffusion

  Official repo to reproduce the paper "How to Backdoor Diffusion Models?" published at CVPR 2023

  Language:Python836

• EPTansuo/FGSM-learn

  Learn FGSM using PyTorch

  Language:Jupyter Notebook3

• ZOMIN28/FIA-pytorch

  The paper "Feature Importance-aware Transferable Adversarial Attacks" by pytorch.

  Language:Python10

• hcguoO0/FIA

  code for "Feature Importance-aware Transferable Adversarial Attacks"

  Language:Python7915

• jiaxingxx/AttackDefenseYOLO

  2

• thong3le/blackbox-attack

  Blackbox attacks for deep neural network models

  Language:Jupyter Notebook7019

• ermongroup/ODS

  Code for "Diversity can be Transferred: Output Diversification for White- and Black-box Attacks"

  Language:Python535

• Jianbo-Lab/ML-LOO

  Language:Python144

• andylow-wl/Adversarial

  An article about different types of adversarial attacks on Image Classification model and Object Detection Model.

  Language:Jupyter Notebook72

• weiaicunzai/pytorch-cifar100

  Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

  Language:Python4.4k1.2k

• rfeinman/detecting-adversarial-samples

  Code for "Detecting Adversarial Samples from Artifacts" (Feinman et al., 2017)

  Language:Python10815

• google-research/active-adversarial-tests

  Official implementation of the paper "Increasing Confidence in Adversarial Robustness Evaluations"

  Language:Python183

• mzweilin/EvadeML-Zoo

  Benchmarking and Visualization Tool for Adversarial Machine Learning

  Language:Python18863

• kaieye/2022-Machine-Learning-Specialization

  Language:Jupyter Notebook4.4k1.7k

• facebookarchive/adversarial_image_defenses

  Countering Adversarial Image using Input Transformations.

  Language:Python49175

• v-wangg/OrthogonalPGD

  Language:Python223

• TooTouch/SID

  pytorch reimplementation for Detecting Adversarial Examples from Sensitivity Inconsistency of Spatial-Transform Domain

  Language:Python101

• JinyuTian/SID

  The code of our AAAI 2021 paper "Detecting Adversarial Examples from Sensitivity Inconsistency of Spatial-transform Domain"

  Language:Python146

• pokaxpoka/deep_Mahalanobis_detector

  Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".

  Language:Python34378

• dydjw9/MetaAttack_ICLR2020

  Language:Python456

• as791/ZOO_Attack_PyTorch

  This repository contains the PyTorch implementation of Zeroth Order Optimization Based Adversarial Black Box Attack (https://arxiv.org/abs/1708.03999)

  Language:Python4014