Project Name	Stars	Most Recent Commit	Open Issues	License	Language
Trades	459	a year ago	4	mit	Python
TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)
Dba	210	3 years ago			Python
Detection by Attack: Detecting Adversarial Samples by Undercover Attack
Tensorflow Adversarial	204	5 years ago	3	mit	Python
Crafting adversarial images
Ensemble Adv Training	100	7 years ago	1	mit	Python
Ensemble Adversarial Training on MNIST
Pytorch Adversarial_box	88	5 years ago			Python
PyTorch library for adversarial attack and training
Badnets Pytorch	70	2 years ago	1	mit	Python
Simple PyTorch implementations of Badnets on MNIST and CIFAR10.
Boundary Attack	67	3 years ago			Python
Implementation of the Boundary Attack algorithm as described in Brendel, Wieland, Jonas Rauber, and Matthias Bethge. "Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models." arXiv preprint arXiv:1712.04248 (2017).
Analysisbysynthesis	57	3 years ago	4	apache-2.0	Python
Adversarially Robust Neural Network on MNIST.
Neuralode	38	5 years ago		mit	Python
Experiments with Neural ODEs and Adversarial Attacks
Gce	31	5 years ago			Python
[ICCV'19] Improving Adversarial Robustness via Guided Complement Entropy

Alternatives To Patchsmoothing

Select To Compare

Trades ⭐ 459

TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)

most recent commit a year ago

Dba ⭐ 210

Detection by Attack: Detecting Adversarial Samples by Undercover Attack

most recent commit 3 years ago

Tensorflow Adversarial ⭐ 204

Crafting adversarial images

most recent commit 5 years ago

Ensemble Adv Training ⭐ 100

Ensemble Adversarial Training on MNIST

most recent commit 7 years ago

Pytorch Adversarial_box ⭐ 88

PyTorch library for adversarial attack and training

most recent commit 5 years ago

Badnets Pytorch ⭐ 70

Simple PyTorch implementations of Badnets on MNIST and CIFAR10.

most recent commit 2 years ago

Boundary Attack ⭐ 67

Implementation of the Boundary Attack algorithm as described in Brendel, Wieland, Jonas Rauber, and Matthias Bethge. "Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models." arXiv preprint arXiv:1712.04248 (2017).

most recent commit 3 years ago

Analysisbysynthesis ⭐ 57

Adversarially Robust Neural Network on MNIST.

most recent commit 3 years ago

Neuralode ⭐ 38

Experiments with Neural ODEs and Adversarial Attacks

most recent commit 5 years ago

Gce ⭐ 31

[ICCV'19] Improving Adversarial Robustness via Guided Complement Entropy

most recent commit 5 years ago

Suggest An Alternative To patchSmoothing

Alternative Project Comparisons

Patchsmoothing vs Trades

Patchsmoothing vs Dba

Patchsmoothing vs Tensorflow Adversarial

Patchsmoothing vs Ensemble Adv Training

Patchsmoothing vs Pytorch Adversarial_box

Patchsmoothing vs Badnets Pytorch

Patchsmoothing vs Boundary Attack

Patchsmoothing vs Analysisbysynthesis

Patchsmoothing vs Neuralode

Patchsmoothing vs Gce

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