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97 search results found
Adversarial Robustness Toolbox
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4,420
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
Foolbox
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2,600
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
Textattack
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2,597
TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/
Taadpapers
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1,413
Must-read Papers on Textual Adversarial Attack and Defense
Deeprobust
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904
A pytorch adversarial library for attack and defense methods on images and graphs
Graph Adversarial Learning Literature
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772
A curated list of adversarial attacks and defenses papers on graph-structured data.
Auto Attack
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587
Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"
Openattack
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571
An Open-Source Package for Textual Adversarial Attack.
Textfooler
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376
A Model for Natural Language Attack on Text Classification and Inference
Awesome Graph Attack Papers
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315
Adversarial attacks and defenses on Graph Neural Networks.
Trojanzoo
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260
TrojanZoo provides a universal pytorch platform to conduct security researches (especially backdoor attacks/defenses) of image classification in deep learning.
Adversarial Explainable Ai
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235
💡 Adversarial attacks on explanations and how to defend them
Pro Gnn
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213
Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"
Nettack
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187
Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".
Defensegan
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164
Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)
Attack And Defense Methods
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152
A curated list of papers on adversarial machine learning (adversarial examples and defense methods).
Adversarial Library
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123
Library containing PyTorch implementations of various adversarial attacks and resources
Fast_adversarial
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118
Code for the CVPR 2019 article "Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses"
Tiger
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108
Python toolbox to evaluate graph vulnerability and robustness (CIKM 2021)
Gnn Meta Attack
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106
Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".
Fgsm
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99
Simple pytorch implementation of FGSM and I-FGSM
Free_adv_train
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95
Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural training.
Robust Physical Attack
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82
Physical adversarial attack for fooling the Faster R-CNN object detector
Fakebob
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81
Source code for paper "Who is real Bob? Adversarial Attacks on Speaker Recognition Systems" (IEEE S&P 2021)
Torchadver
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78
A PyTorch Toolbox for creating adversarial examples that fool neural networks.
Disrupting Deepfakes
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75
🔥🔥Defending Against Deepfakes Using Adversarial Attacks on Conditional Image Translation Networks
Tog
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74
Real-time object detection is one of the key applications of deep neural networks (DNNs) for real-world mission-critical systems. While DNN-powered object detection systems celebrate many life-enriching opportunities, they also open doors for misuse and abuse. This project presents a suite of adversarial objectness gradient attacks, coined as TOG, which can cause the state-of-the-art deep object detection networks to suffer from untargeted random attacks or even targeted attacks with three types
Robnets
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73
[CVPR 2020] When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks
Awesome Fools
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73
💀 A collection of methods to fool the deep neural network 💀
Adversarial Learning Robustness
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71
Contains materials for workshops pertaining to adversarial robustness in deep learning.
Patch Wise Iterative Attack
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71
Patch-wise iterative attack (accepted by ECCV 2020) to improve the transferability of adversarial examples.
Awesome Adversarial Deep Learning
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68
A list of awesome resources for adversarial attack and defense method in deep learning
Msc 2018 Final
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66
Face Robustness Benchmark
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63
An adversarial robustness evaluation library on face recognition.
Stateadvdrl
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63
[NeurIPS 2020, Spotlight] Code for "Robust Deep Reinforcement Learning against Adversarial Perturbations on Observations"
Teapot Nlp
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59
Tool for Evaluating Adversarial Perturbations on Text
Sememepso Attack
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58
Code and data of the ACL 2020 paper "Word-level Textual Adversarial Attacking as Combinatorial Optimization"
Mtcnnattack
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57
The first real-world adversarial attack on MTCNN face detetction system to date
Awesome 3d Point Cloud Attacks
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56
List of state of the art papers, code, and other resources
Diac2019 Adversarial Attack Share
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52
DIAC2019基于Adversarial Attack的问题等价性判别比赛
Rs Adversarial Learning
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52
A curated collection of adversarial attack and defense on recommender systems.
Fooling Lime Shap
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47
Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)
Adversarial_lab
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45
Web-based Tool for visualisation and generation of adversarial examples by attacking ImageNet Models like VGG, AlexNet, ResNet etc.
Adversarial Examples Paper
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41
Paper list of Adversarial Examples
Procedural Advml
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40
Task-agnostic universal black-box attacks on computer vision neural network via procedural noise (CCS'19)
Advis.js
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39
[Tensorflow.js] AdVis: Exploring real-time Adversarial Attacks in the browser with Fast Gradient Sign Method.
Me Net
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34
[ICML 2019] ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation
Acl18_results
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30
Code to reproduce results in our ACL 2018 paper "Did the Model Understand the Question?"
Ijcnn19attacks
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29
Adversarial Attacks on Deep Neural Networks for Time Series Classification
Square Attack
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27
Square Attack: a query-efficient black-box adversarial attack via random search [ECCV 2020]
Rl Policies Attacks Defenses
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26
Adversarial attacks on Deep Reinforcement Learning (RL)
Advanced Gradient Obfuscating
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25
Take further steps in the arms race of adversarial examples with only preprocessing.
T3
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24
[EMNLP 2020] "T3: Tree-Autoencoder Constrained Adversarial Text Generation for Targeted Attack" by Boxin Wang, Hengzhi Pei, Boyuan Pan, Qian Chen, Shuohang Wang, Bo Li
Rtaa
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22
[ECCV2020] Robust Tracking against Adversarial Attacks
Gnnguard
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22
Defending graph neural networks against adversarial attacks (NeurIPS 2020)
Geometric_adv
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21
Geometric Adversarial Attacks and Defenses on 3D Point Clouds (3DV 2021)
Sparse Rs
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21
Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks
Adversarial Point Perturbations On 3d Objects
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19
New distributional and shape attacks on neural networks that process 3D point cloud data.
Fab Attack
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18
Code for FAB-attack
Advrank
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17
Adversarial Ranking Attack and Defense, ECCV, 2020.
Bluff
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16
Bluff: Interactively Deciphering Adversarial Attacks on Deep Neural Networks
Csa
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16
Official implementation of CVPR2020 Paper "Cooling-Shrinking Attack"
Zoo_attack_pytorch
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16
This repository contains the PyTorch implementation of Zeroth Order Optimization Based Adversarial Black Box Attack (https://arxiv.org/abs/1708.03999)
Leba
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15
[NeurIPS'20] Learning Black-Box Attackers with Transferable Priors and Query Feedback
Attack Imagenet
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15
No.2 solution of Tianchi ImageNet Adversarial Attack Challenge.
Augmented_lagrangian_adversarial_attacks
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14
Code for the ICCV 2021 paper "Augmented Lagrangian Adversarial Attacks"
Mcs2018_solution
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14
Advpc
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14
AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds (ECCV 2020)
Chainer Adversarial Examples
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14
Adversarial attack methods, FGSM and TGSM, implemented in Chainer
Pgd Pytorch
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13
A pytorch implementation of "Towards Deep Learning Models Resistant to Adversarial Attacks"
Face Adversarial Attack
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12
An easy approach for the competition "Facial Adversary Examples" in TIANCHI
Robustbnns
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12
Code for paper "Robustness of Bayesian Neural Networks to Gradient-Based Attacks"
Sparse Imperceivable Attacks
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12
Sparse and Imperceivable Adversarial Attacks (accepted to ICCV 2019).
Adverserial_attack
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12
Different Adversarial attack methods implemented in PyTorch on CIFAR-10 Dataset
Tree Ensemble Attack
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11
[NeurIPS 2020] Code for "An Efficient Adversarial Attack for Tree Ensembles"
3d Neural Network Adversarial Attacks
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11
Research on adversarial attacks and defenses for deep neural network 3D point cloud classifiers like PointNet and PointNet++.
Manifoldmixup
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10
ManifoldMixup with support for Interpolated Adversarial training
Sa_dqn
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10
[NeurIPS 2020, Spotlight] State-Adversarial DQN (SA-DQN) for robust deep reinforcement learning
Project Athena
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10
This is the course project for CSCE585: ML Systems. Students will build their machine learning systems based on the provided infrastructure --- Athena.
Zeroe
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9
From Hero to Zéroe: A Benchmark of Low-Level Adversarial Attacks
Snn Adversarial Attacks
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9
Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters
Sada
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9
SADA: Semantic Adversarial Diagnostic Attacks for Autonomous Applications (AAAI 2020)
White 2 Black
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9
The official code to reproduce results from the NACCL2019 paper: White-to-Black: Efficient Distillation of Black-Box Adversarial Attacks
Metaadvdet
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8
The official pytorch implementation of ACM MM 19 paper "MetaAdvDet: Towards Robust Detection of Evolving Adversarial Attacks"
Eegadversary
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8
This is a toolbox to construct adversarial examples of EEG signals. The traditional EEG extraction methods and classifiers are re-implemented in Tensorflow.
Pytorch Gnn Meta Attack
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8
Pytorch implementation of gnn meta attack (mettack). Paper title: Adversarial Attacks on Graph Neural Networks via Meta Learning.
Featurespaceattack
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8
Code for AAAI 2021 "Towards Feature Space Adversarial Attack".
Vanilla Adversarial Training
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8
vanilla training and adversarial training in PyTorch
Meta Adversarial Training
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8
Tensorflow implementation of Meta Adversarial Training for Adversarial Patch Attacks on Tiny ImageNet.
Linear Region Attack
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8
A powerful white-box adversarial attack that exploits knowledge about the geometry of neural networks to find minimal adversarial perturbations without doing gradient descent
Adversarial_attack_on_rnn
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7
Performing C&W attack on Recurrent Neural Network
Robustadversarialnetwork
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7
A pytorch re-implementation for paper "Towards Deep Learning Models Resistant to Adversarial Attacks"
Adversarial.jl
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7
Adversarial attacks for Neural Networks written with FluxML
Fda
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7
Code of our recently published attack FDA: Feature Disruptive Attack. Colab Notebook: https://colab.research.google.com/drive/1WhkKCrzFq
Sa_ppo
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6
[NeurIPS 2020 Spotlight] State-adversarial PPO for robust deep reinforcement learning
Awesome Real World Adversarial Examples
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6
😎 A curated list of awesome real-world adversarial examples resources
Cw Pytorch
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6
A pytorch implementation of "Towards Evaluating the Robustness of Neural Networks"
Adv Examples Fun
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5
Try to generate adversarial images in your browser for fun and profit.
Adversarial_robustness_zsl
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5
[ECCV 2020 AROW Workshop] A Deep Dive into Adversarial Robustness in Zero-Shot Learning
Vbad
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5
Black-box Adversarial Attacks on Video Recognition Models. (VBAD)
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