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Search results for pytorch adversarial attacks
adversarial-attacks
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pytorch
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66 search results found
Foolbox
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2,600
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
Adversarial Attacks Pytorch
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1,609
PyTorch implementation of adversarial attacks.
Advertorch
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1,271
A Toolbox for Adversarial Robustness Research
Deeprobust
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904
A pytorch adversarial library for attack and defense methods on images and graphs
Openattack
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571
An Open-Source Package for Textual Adversarial Attack.
Adversarial Examples Pytorch
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353
Implementation of Papers on Adversarial Examples
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.
Pro Gnn
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213
Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"
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"
Grb
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89
Graph Robustness Benchmark: A scalable, unified, modular, and reproducible benchmark for evaluating the adversarial robustness of Graph Machine Learning.
Dialogue Understanding
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82
This repository contains PyTorch implementation for the baseline models from the paper Utterance-level Dialogue Understanding: An Empirical Study
Scratchai
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81
scratchai is a Deep Learning library that aims to store all Deep Learning algorithms. With easy calls to do all the common tasks in AI.
Torchadver
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78
A PyTorch Toolbox for creating adversarial examples that fool neural networks.
Greatx
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75
A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).
Msc 2018 Final
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66
Hyperion
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61
Python toolkit for speech processing
Chop
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58
CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.
Kitanaqa
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47
KitanaQA: Adversarial training and data augmentation for neural question-answering models
Flowattack
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46
Attacking Optical Flow (ICCV 2019)
Onlinelabelsmoothing
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45
The official code for the paper "Delving Deep into Label Smoothing", IEEE TIP 2021
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.
Perceptual Advex
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39
Code and data for the ICLR 2021 paper "Perceptual Adversarial Robustness: Defense Against Unseen Threat Models".
Ssah Adversarial Attack
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37
Code for the paper "Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity"
Adversarial Information Bottleneck
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37
Official PyTorch Implementation for "Distilling Robust and Non-Robust Features in Adversarial Examples by Information Bottleneck" in NeurIPS 2021
Rl Policies Attacks Defenses
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26
Adversarial attacks on Deep Reinforcement Learning (RL)
Neural Ode Metasolver
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24
Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561
G Nia
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23
G-NIA model from "Single Node Injection Attack against Graph Neural Networks" (CIKM 2021)
Advdrop
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22
Code for "Adversarial attack by dropping information." (ICCV 2021)
Geometric_adv
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21
Geometric Adversarial Attacks and Defenses on 3D Point Clouds (3DV 2021)
Speakerguard
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20
a Pytorch library for security research on speaker recognition, released in "Towards Understanding and Mitigating Audio Adversarial Examples for Speaker Recognition" accepted by TDSC
Code Soup
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18
This is a collection of algorithms and approaches used in the book adversarial deep learning
Adv Part Model
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18
Code for a research paper "Part-Based Models Improve Adversarial Robustness" (ICLR 2023)
Torchattack
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18
🛡 A set of adversarial attacks in PyTorch
Bert Probe
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16
BERT Probe: A python package for probing attention based robustness to character and word based adversarial evaluation. Also, with recipes of implicit and explicit defenses against character-level attacks.
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)
Composite Adv
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15
[CVPR23] "Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations" by Lei Hsiung, Yun-Yun Tsai, Pin-Yu Chen, and Tsung-Yi Ho.
Fgsm Pytorch
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15
A pytorch implementation of "Explaining and harnessing adversarial examples"
Natural Color Fool
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15
This repository is the official implementation of [Natural Color Fool: Towards Boosting Black-box Unrestricted Attacks (NeurIPS'22)](https://arxiv.org/abs/2210.02041).
Attack Imagenet
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15
No.2 solution of Tianchi ImageNet Adversarial Attack Challenge.
Mcs2018_solution
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14
Augmented_lagrangian_adversarial_attacks
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14
Code for the ICCV 2021 paper "Augmented Lagrangian Adversarial Attacks"
Mdattack
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13
Adversarial Ml 101
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13
A beginner friendly repository for getting started with adversarial machine learning in PyTorch
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
Fooling_network_interpretation
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12
Official PyTorch implementation for our ICCV 2019 paper - Fooling Network Interpretation in Image Classification
Cool Papers In Pytorch
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12
Reimplementing cool papers in PyTorch...
Adverserial_attack
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12
Different Adversarial attack methods implemented in PyTorch on CIFAR-10 Dataset
Smoothfool
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10
SmoothFool: An Efficient Framework for Computing Smooth Adversarial Perturbations
Saga
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10
SAGA: Spectral Adversarial Geometric Attack on 3D Meshes (ICCV 2023)
Manifoldmixup
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10
ManifoldMixup with support for Interpolated Adversarial training
Uae Rs
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10
Universal Adversarial Examples in Remote Sensing: Methodology and Benchmark
Stereoscopic Universal Perturbations
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9
PyTorch Implementation of Stereoscopic Universal Perturbations across Different Architectures and Datasets (CVPR 2022)
Targeted Adversarial Perturbations Monocular Depth
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9
PyTorch implementation of Targeted Adversarial Perturbations for Monocular Depth Predictions (in NeurIPS 2020)
Sgd Uap Torch
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9
Universal Adversarial Perturbations (UAPs) for PyTorch
Deep Chicken Saviour
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8
using adversarial attacks to confuse deep-chicken-terminator 🛡️ 🐔
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.
Vanilla Adversarial Training
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8
vanilla training and adversarial training in PyTorch
Ipnn Pytorch
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7
A pytorch implementation of "Intriguing properties of neural networks"
Robustadversarialnetwork
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7
A pytorch re-implementation for paper "Towards Deep Learning Models Resistant to Adversarial Attacks"
Defending Against Backdoors With Robust Learning Rate
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7
The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".
Sacnet
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7
Self-Attention Context Network: Addressing the Threat of Adversarial Attacks for Hyperspectral Image Classification
Stereopagnosia
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7
PyTorch implementation of Stereopagnosia: Fooling Stereo Networks with Adversarial Perturbations (in AAAI 2021)
Tth
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7
Source code of our ICASSP2023 paper: Towards Making a Trojan-horse Attack on Text-to-Image Retrieval.
Cw Pytorch
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6
A pytorch implementation of "Towards Evaluating the Robustness of Neural Networks"
Composite Adv
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5
[CVPR23] "Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations" by Lei Hsiung, Yun-Yun Tsai, Pin-Yu Chen, and Tsung-Yi Ho.
Adversarial_robustness_zsl
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5
[ECCV 2020 AROW Workshop] A Deep Dive into Adversarial Robustness in Zero-Shot Learning
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