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adversarial-machine-learning
Here are 140 public repositories matching this topic...
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
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May 16, 2020 - Jupyter Notebook
T2F: text to face generation using Deep Learning
generative-adversarial-network
gan
text-to-image
adversarial-machine-learning
progressively-growing-gan
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May 8, 2019 - Python
ProGAN package implemented as an extension of PyTorch nn.Module
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Feb 2, 2020 - Python
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
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May 31, 2020
Code for our NeurIPS 2019 *spotlight* "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"
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Nov 9, 2019 - Python
Provable adversarial robustness at ImageNet scale
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May 20, 2019 - Python
A Python framework for adversarial attacks and data augmentation in NLP
nlp
security
machine-learning
natural-language-processing
data-augmentation
adversarial-machine-learning
adversarial-attacks
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Updated
Jun 2, 2020 - Python
MSG-GAN: Multi-Scale Gradients GAN (Architecture inspired from ProGAN but doesn't use layer-wise growing)
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Apr 12, 2020 - Python
Adversarial Training for Neural Relation Extraction
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Jun 3, 2018 - Python
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
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Jun 8, 2019 - Python
Physical adversarial attack for fooling the Faster R-CNN object detector
computer-vision
faster-rcnn
object-detection
adversarial-machine-learning
adversarial-examples
adversarial-attacks
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Jan 13, 2020 - Jupyter Notebook
Plausible looking adversarial examples for text classification
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Dec 16, 2018 - Python
iArunava
commented
Apr 16, 2019
A small tutorial of how thresh_img works needs to be added. Tutorials are for now kept in README.md
The file is here: https://github.com/iArunava/scratchai/blob/e24317baf2fdbe8f45c4c1b4e746fb6858a57ac6/scratchai/imgutils.py#L4
A PyTorch Toolbox for creating adversarial examples that fool neural networks.
pytorch
toolbox
adversarial-search
adversarial-networks
adversarial-machine-learning
adversarial-examples
adversarial-attacks
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Aug 7, 2019 - Python
A simple GUI tool for generating adversarial poses of objects.
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Feb 4, 2020 - Python
SHIELD: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression
security
deep-learning
attack
tensorflow
paper
intel
dnn
shield
defense
georgia-tech
vaccination
adversarial-machine-learning
imagenet-dataset
fgsm
video-demo
jpeg-compression
carlini-wagner
i-fgsm
deepfool
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Nov 27, 2018 - Python
Deflecting Adversarial Attacks with Pixel Deflection
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Jun 21, 2018 - Jupyter Notebook
Code repository for the paper "Adversarial Deep Learning for Robust Detection of Binary Encoded Malware"
deep-learning
optimization
malware
cybersecurity
adversarial-networks
adversarial-machine-learning
saddlepoint-approximation
binary-encoded
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Aug 31, 2018 - Python
Copy cat model for Proofpoint
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Apr 30, 2020 - Python
ndrmnl
commented
Oct 8, 2018
Hi, you mention in the readme that the package supports PyTorch models, but in ShadowModelBundle._fit you assume the model has fit method (line 116).
How exactly have you tested the PyTorch models? I was thinking of maybe using pytorch-fitmodule or SuperModule, but if there's a way you recommend already that would be great. Also it would be nice to include an example of how to load PyTorch mo
Robustness benchmark for DNN models.
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Apr 1, 2020 - Python
Implementation of the methods proposed in **Adversarial Training Methods for Semi-Supervised Text Classification** on IMDB dataset (without pre-training)
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May 9, 2018 - Jupyter Notebook
Examples trained using the python pytorch package pro-gan-pth
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Jan 31, 2019 - Python
Feature Scattering Adversarial Training
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Feb 18, 2020 - Python
Generalized Data-free Universal Adversarial Perturbations
machine-learning
deep-learning
optimization
artificial-intelligence
classification
segmentation
depth-estimation
adversarial-machine-learning
universal-adversarial-perturbations
adversarial-attacks
gd-uap
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Oct 5, 2018 - Python
EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples
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Sep 22, 2018 - Python
Library and experiments for attacking machine learning in discrete domains
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Mar 31, 2020 - Jupyter Notebook
My entry for ICLR 2018 Reproducibility Challenge for paper Synthesizing robust adversarial examples https://openreview.net/pdf?id=BJDH5M-AW
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Apr 5, 2018 - Jupyter Notebook
A curated list of awesome resources regarding machine learning reliability.
adversarial-machine-learning
adversarial-examples
machine-leraning-reliability
machine-learning-testing
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Aug 15, 2019
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Is your feature request related to a problem? Please describe.
When generating generating targeted attacks the method arguments
generate(x, y=None)can be confusing. In this caseyusually refers to the target label for the attack, but users may accidentally put the correct label there, rendering the attack ineffective.Describe the solution you'd like
Maybe we should change that