LinkCodeDefend

Links --> github of the defense method:

Countering Adversarial Images Using Input Transformations
https://github.com/facebookresearch/adversarial_image_defenses

Ensemble Adversarial Training: Attacks and Defenses:
https://github.com/ftramer/ensemble-adv-training

Explaining and Harnessing Adversarial Examples:
https://github.com/abhibhav14/adversarial-machine-learning

MagNet: MagNet: a Two-Pronged Defense against Adversarial Examples
https://github.com/Trevillie/MagNet

Defensive Distillation is Not Robust to Adversarial examples
https://github.com/carlini/breaking_defensive_distillation

Extending Defensive Distillation
https://github.com/timctho/artificial-idiot

Distributional Smoothing with Virtual Adversarial Training
https://github.com/takerum/vat
https://github.com/takerum/vat_tf
https://github.com/takerum/vat_chainer
https://github.com/musyoku/vat

Adversarial Autoencoders
https://github.com/takerum/adversarial_autoencoder

APE-GAN: Adversarial Perturbation Elimination with GAN
https://github.com/carlini/APE-GAN

Adversarial Examples are not Easily Detected
https://github.com/carlini/nn_breaking_detection

Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
https://github.com/anishathalye/obfuscated-gradients

DeepCloak: Masking Deep Neural Network Models for Robustness Against Adversarial Samples
https://github.com/QData/DeepCloak

Code to reproduce and break the "Efficient Defenses" paper
https://github.com/carlini/breaking_efficient_defenses

Defense against Adversarial Attacks Using High-Level Representation Guided Denoiser
https://github.com/lfz/Guided-Denoise

Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
https://github.com/guykatzz/ReluplexCav2017

Detecting Adversarial Samples from Artifacts
https://github.com/rfeinman/detecting-adversarial-samples

Early Methods for Detecting Adversarial Images
https://github.com/hendrycks/fooling

Detecting Adversarial Examples in Deep Networks with Adaptive Noise Reduction
https://github.com/OwenSec/DeepDetector