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adversarial-attacks

Here are 564 public repositories matching this topic...

makcedward / nlpaug

Sponsor

Data augmentation for NLP

nlp data-science machine-learning natural-language-processing ai ml artificial-intelligence augmentation adversarial-example adversarial-attacks

Updated May 15, 2022
Jupyter Notebook

Trusted-AI / adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

python machine-learning privacy ai attack extraction inference artificial-intelligence evasion red-team poisoning adversarial-machine-learning blue-team adversarial-examples adversarial-attacks trusted-ai trustworthy-ai

Updated May 27, 2022
Python

BishopFox / sliver

Adversary Emulation Framework

dns golang http gplv3 dns-server sliver red-team security-tools c2 red-team-engagement command-and-control implant adversarial-attacks red-teaming adversary-simulation

Updated May 30, 2022
Go

bethgelab / foolbox

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

python machine-learning tensorflow keras pytorch adversarial-examples adversarial-attacks jax

Updated May 30, 2022
Python

QData / TextAttack

Open

GoalFunctionResult and AttackResult should have str

2

jxmorris12 commented Aug 8, 2020

Both the GoalFunctionResult and AttackResult abstract classes should provide a meaningful __str__ method so that they can be printed in a readable way.

Read more

enhancement good first issue no-issue-activity

AdvBox

advboxes / AdvBox

Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.

security machine-learning deep-learning paddlepaddle adversarial-example adversarial-examples onnx fgsm adversarial-attacks deepfool graphpipe

Updated May 26, 2022
Jupyter Notebook

thunlp / TAADpapers

Must-read Papers on Textual Adversarial Attack and Defense

nlp natural-language-processing adversarial-learning adversarial-attacks paper-list adversarial-defense

Updated May 21, 2022
Python

BorealisAI / advertorch

A Toolbox for Adversarial Robustness Research

security benchmarking machine-learning pytorch toolbox robustness adversarial-learning adversarial-machine-learning adversarial-example adversarial-examples adversarial-attacks adversarial-perturbations

Updated May 29, 2022
Jupyter Notebook

Harry24k / adversarial-attacks-pytorch

PyTorch implementation of adversarial attacks.

deep-learning pytorch adversarial-attacks

Updated May 30, 2022
Python

shubhomoydas / ad_examples

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

streaming timeseries time-series lstm generative-adversarial-network gan rnn autoencoder ensemble-learning trees active-learning concept-drift graph-convolutional-networks interpretability anomaly-detection adversarial-attacks explaination anogan unsuperivsed nettack

Updated May 26, 2022
Python

DSE-MSU / DeepRobust

A pytorch adversarial library for attack and defense methods on images and graphs

machine-learning deep-neural-networks deep-learning defense graph-mining graph-convolutional-networks adversarial-examples adversarial-attacks graph-neural-networks

Updated May 14, 2022
Python

safe-graph / graph-adversarial-learning-literature

A curated list of adversarial attacks and defenses papers on graph-structured data.

security machine-learning data-mining deep-learning graph-algorithms survey awesome-list graph-data graph-attack literature-review adversarial-machine-learning adversarial-attacks

Updated Apr 25, 2022

thunlp / OpenAttack

An Open-Source Package for Textual Adversarial Attack.

nlp natural-language-processing pytorch adversarial-example adversarial-attacks

Updated Apr 19, 2022
Python

hendrycks / natural-adv-examples

A Harder ImageNet Test Set (CVPR 2021)

imagenet robustness adversarial-example adversarial-attacks domain-generalization ml-safety

Updated Mar 1, 2021
Python

jind11 / TextFooler

A Model for Natural Language Attack on Text Classification and Inference

natural-language-processing text-classification natural-language-inference bert adversarial-attacks bert-model

Updated May 26, 2022
Python

fra31 / auto-attack

Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"

adversarial-attacks adversarial-robustness adversarial-defenses

Updated Feb 16, 2022
Python

sarathknv / adversarial-examples-pytorch

Implementation of Papers on Adversarial Examples

visualization opencv deep-neural-networks deep-learning paper python3 pytorch adversarial-networks generative-adversarial-networks adversarial-learning adversarial-examples trackbar fgsm adversarial-attacks adversarial-images perturbations adversarial-defence adversarial-perturbations random-perturbations

Updated Jan 19, 2019
Python

thu-ml / ares

A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.

nes pca bim benchmark-framework evolutionary spsa boundary adversarial-machine-learning distillation fgsm adversarial-attacks deepfool adversarial-robustness mi-fgsm mmlda hgd

Updated Mar 23, 2022
Python

ChandlerBang / awesome-graph-attack-papers

Adversarial attacks and defenses on Graph Neural Networks.

machine-learning awesome deep-learning graph awesome-list defense robustness literature-review adversarial-examples adversarial-attacks graph-neural-networks

Updated Oct 28, 2021

kabkabm / defensegan

Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)

deep-learning generative-adversarial-network adversarial-examples adversarial-attacks iclr2018

Updated Oct 24, 2019
Python

natanielruiz / disrupting-deepfakes

🔥

🔥Defending Against Deepfakes Using Adversarial Attacks on Conditional Image Translation Networks

machine-learning computer-vision deep-learning faceswap face-swap fake-news adversarial-attacks deepfakes deepfake-detection defending disrupting-deepfakes defending-deepfakes

Updated May 7, 2020
Python

1Konny / FGSM

Simple pytorch implementation of FGSM and I-FGSM

adversarial-example adversarial-attacks machine-learning-security

Updated Mar 21, 2018
Python

danielzuegner / nettack

Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".

machine-learning deep-learning neural-networks graph-mining adversarial-attacks

Updated Dec 9, 2021
Python

a1600012888 / YOPO-You-Only-Propagate-Once

Code for our nips19 paper: You Only Propagate Once: Accelerating Adversarial Training Via Maximal Principle

deep-learning optimization optimal-control adversarial-attacks

Updated Sep 23, 2020
Python

ryderling / DEEPSEC

DEEPSEC: A Uniform Platform for Security Analysis of Deep Learning Model

adversarial-examples adversarial-attacks deep-leaning defenses

Updated May 21, 2019
Python

ChandlerBang / Pro-GNN

Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"

machine-learning deep-learning pytorch semi-supervised-learning defense graph-mining attack-defense adversarial-attacks graph-neural-networks graph-structure-recovery

Updated Jul 14, 2021
Python

haofanwang / Awesome-Computer-Vision

Awesome Resources for Advanced Computer Vision Topics

computer-vision deep-learning paper gan awesome-list object-detection transfer-learning super-resolution automl pose-estimation 3d-vision interpretability denoising trajectory-prediction video-analysis adversarial-attacks vision-and-language graph-neural-network vision-project

Updated May 15, 2022

ashafahi / free_adv_train

Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural training.

attack classification robust adversarial robustness adversarial-learning attack-defense adversarial-machine-learning adversarial-example adversarial-examples adversarial-attacks

Updated Jun 8, 2019
Python

ain-soph / trojanzoo

TrojanZoo provides a universal pytorch platform to conduct security researches (especially backdoor attacks/defenses) of image classification in deep learning.

deep-learning pytorch image-classification adversarial-attacks backdoor-attacks

Updated May 27, 2022
Python

tao-bai / attack-and-defense-methods

A curated list of papers on adversarial machine learning (adversarial examples and defense methods).

machine-learning adversarial-machine-learning adversarial-examples adversarial-attacks adversarial-defense

Updated May 27, 2022
TeX

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