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adversarial-attacks

Here are 313 public repositories matching this topic...

Trusted-AI / adversarial-robustness-toolbox

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

python deep-neural-networks attack scikit-learn extraction artificial-intelligence xgboost lightgbm logistic-regression support-vector-machine decision-trees poisoning adversarial-machine-learning adversarial-examples adversarial-attacks gradient-boosted-trees defense-methods codait trusted-ai

Updated Dec 4, 2020
Python

bethgelab / foolbox

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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 Oct 19, 2020
Python

makcedward / nlpaug

Sponsor Star

Data augmentation for NLP

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

Updated Nov 14, 2020
Jupyter Notebook

QData / TextAttack

Star

Open

Confusing error message when a model isn't supplied

jxmorris12 commented Sep 1, 2020

Output when I specify an attack without a model:

(torch) jxmorris12 12:50 PM > textattack attack --recipe bae
Traceback (most recent call last):
...
  File "/p/qdata/jm8wx/research/text_attacks/textattack/textattack/commands/attack/attack_args_helpers.py", line 343, in parse_model_from_args
    raise ValueError(f"Error: unsupported TextAttack model {args.model}")
ValueError: Error: un

Read more

good first issue invalid

Open

add BERT-based augmenter

2

Open

GoalFunctionResult and AttackResult should have str

AdvBox

advboxes / AdvBox

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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 Nov 13, 2020
Jupyter Notebook

BorealisAI / advertorch

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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 Sep 25, 2020
Jupyter Notebook

thunlp / TAADpapers

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Must-read Papers on Textual Adversarial Attack and Defense

nlp adversarial-learning adversarial-attacks paper-list adversarial-defense

Updated Nov 25, 2020

shubhomoydas / ad_examples

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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 Sep 25, 2020
Python

DSE-MSU / DeepRobust

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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 Dec 7, 2020
Python

safe-graph / graph-adversarial-learning-literature

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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 Dec 1, 2020

hendrycks / natural-adv-examples

Star

A Harder ImageNet Test Set

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

Updated Nov 16, 2020
Python

sarathknv / adversarial-examples-pytorch

Star

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

jind11 / TextFooler

Star

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 Nov 13, 2020
Python

Harry24k / adversarial-attacks-pytorch

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A pytorch implementations of Adversarial attacks and utils

deep-learning pytorch adversarial-attacks

Updated Dec 7, 2020
Python

kabkabm / defensegan

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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

thunlp / OpenAttack

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An Open-Source Package for Textual Adversarial Attack.

nlp adversarial-example adversarial-attacks

Updated Dec 7, 2020
Python

danielzuegner / nettack

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

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

Updated Jan 7, 2020
Python

a1600012888 / YOPO-You-Only-Propagate-Once

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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

kleincup / DEEPSEC

Star

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

adversarial-examples adversarial-attacks deep-leaning defenses

Updated May 21, 2019
Python

ChandlerBang / awesome-graph-attack-papers

Star

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 Nov 23, 2020

natanielruiz / disrupting-deepfakes

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🔥🔥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

ashafahi / free_adv_train

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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

1Konny / FGSM

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Simple pytorch implementation of FGSM and I-FGSM

adversarial-example adversarial-attacks machine-learning-security

Updated Mar 21, 2018
Python

fra31 / auto-attack

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

adversarial-attacks adversarial-robustness adversarial-defenses

Updated Nov 29, 2020
Python

jeromerony / fast_adversarial

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Code for the CVPR 2019 article "Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses"

machine-learning adversarial-example adversarial-attacks

Updated Nov 25, 2020
Python

wy1iu / DCNets

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Implementation for <Decoupled Networks> in CVPR'18.

recognition tensorflow adversarial-attacks cvpr2018 decoupled-networks decoupled-convolution

Updated Jun 29, 2018
Python

shangtse / robust-physical-attack

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Physical adversarial attack for fooling the Faster R-CNN object detector

computer-vision faster-rcnn object-detection adversarial-machine-learning adversarial-examples adversarial-attacks

Updated Jan 13, 2020
Jupyter Notebook

thu-ml / realsafe

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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 Oct 13, 2020
Python

danielzuegner / gnn-meta-attack

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Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".

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

Updated Dec 7, 2020
Python

nebula-beta / awesome-adversarial-deep-learning

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A list of awesome resources for adversarial attack and defense method in deep learning

computer-vision deep-learning adversarial-attacks adversarial-defense

Updated Nov 14, 2020

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