Alternatives and similar repositories for Adversarial_Reprogramming:

Users that are interested in Adversarial_Reprogramming are comparing it to the libraries listed below

• rwightman / pytorch-nips2017-attack-example
  A PyTorch baseline attack example for the NIPS 2017 adversarial competition
  ☆85Updated 7 years ago
• MadryLab / robustness_applications
  Notebooks for reproducing the paper "Computer Vision with a Single (Robust) Classifier"
  ☆128Updated 5 years ago
• ZiangYan / deepdefense.pytorch
  Implementation of our NeurIPS 2018 paper: Deep Defense: Training DNNs with Improved Adversarial Robustness
  ☆39Updated 6 years ago
• adversarial-robustness-benchmark / adversarial-robustness-benchmark
  ☆18Updated 5 years ago
• iDurugkar / GMAN
  GANs with multiple Discriminators
  ☆78Updated 2 years ago
• layumi / Awesome-Fools
  A collection of methods to fool the deep neural network
  ☆77Updated 5 months ago
• yxlao / reverse-gan.pytorch
  Precise Recovery of Latent Vectors from Generative Adversarial Networks in PyTorch
  ☆32Updated 7 years ago
• VishaalMK / VectorDefense
  VectorDefense: Vectorization as a Defense to Adversarial Examples --->
  ☆13Updated 6 years ago
• bethgelab / adversarial-vision-challenge
  NIPS Adversarial Vision Challenge
  ☆41Updated 6 years ago
• ToniCreswell / InvertingGAN
  Invert a pre-trained GAN model (includes code for training a GAN on celebA)
  ☆84Updated 6 years ago
• locuslab / projected_sinkhorn
  ☆87Updated 6 months ago
• jlezama / disentangling-jacobian
  Source code for ICLR 2019 paper
  ☆24Updated 4 years ago
• MadryLab / robust-features-code
  Code for "Robustness May Be at Odds with Accuracy"
  ☆92Updated last year
• labsix / adversarial-logit-pairing-analysis
  Analysis of Adversarial Logit Pairing
  ☆60Updated 6 years ago
• liyu95 / NN_decision_boundary
  On the decision boundary of deep neural networks
  ☆38Updated 6 years ago
• sunblaze-ucb / blackbox-attacks
  Code used in 'Exploring the Space of Black-box Attacks on Deep Neural Networks' (https://arxiv.org/abs/1712.09491)
  ☆61Updated 6 years ago
• max-andr / cross-lipschitz
  Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation [NeurIPS 2017]
  ☆18Updated 6 years ago
• xiahaifeng1995 / adversarial-robustness
  ☆25Updated 5 years ago
• BorealisAI / bre-gan
  Code for ICLR2018 paper: Improving GAN Training via Binarized Representation Entropy (BRE) Regularization - Y. Cao · W Ding · Y.C. Lui · …
  ☆20Updated 6 years ago
• ajiljalal / manifold-defense
  ☆20Updated 6 months ago
• huanzhang12 / ImageCaptioningAttack
  Show-and-Fool: Adversarial Examples for Image Captioning task
  ☆55Updated 3 years ago
• tonyduan / rs4a
  Randomized Smoothing of All Shapes and Sizes (ICML 2020).
  ☆52Updated 4 years ago
• MadryLab / adversarial_spatial
  Investigating the robustness of state-of-the-art CNN architectures to simple spatial transformations.
  ☆49Updated 5 years ago
• revbucket / mister_ed
  Pytorch Adversarial Attack Framework
  ☆78Updated 5 years ago
• tabacof / adv_vae
  Adversarial Images for Variational Autoencoders
  ☆13Updated 8 years ago
• microsoft / denoised-smoothing
  Provably defending pretrained classifiers including the Azure, Google, AWS, and Clarifai APIs
  ☆96Updated 3 years ago
• jsikyoon / adv_attack_capsnet
  Tensorflow Implementation of Adversarial Attack to Capsule Networks
  ☆173Updated 7 years ago
• MadryLab / robustness_lib
  ☆11Updated 5 years ago
• alvinchangw / JARN_ICLR2020
  Implementation for Jacobian Adversarially Regularized Networks for Robustness (ICLR 2020)
  ☆21Updated 5 years ago
• gongzhitaao / adversarial-classifier
  It turns out that adversarial and clean data are not twins, not at all.
  ☆19Updated 7 years ago