Prinsphield / Adversarial_Reprogramming

Related projects ⓘ

Alternatives and complementary repositories for Adversarial_Reprogramming

• 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
• 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 5 years ago
• IBM / Image-Captioning-Attack
  Codes for reproducing the adversarial attacks on image captioning systems in “Attacking Visual Language Grounding with Adversarial Examp…
  ☆39Updated 2 years ago
• yaxingwang / Transferring-GANs
  ECCV2018
  ☆68Updated 5 years ago
• layumi / Awesome-Fools
  A collection of methods to fool the deep neural network
  ☆77Updated last month
• huanzhang12 / ImageCaptioningAttack
  Show-and-Fool: Adversarial Examples for Image Captioning task
  ☆55Updated 3 years ago
• eladhoffer / fix_your_classifier
  ☆34Updated 5 years ago
• vsyrgkanis / optimistic_GAN_training
  ☆44Updated 6 years ago
• revbucket / mister_ed
  Pytorch Adversarial Attack Framework
  ☆78Updated 5 years ago
• ZiangYan / deepdefense.pytorch
  Implementation of our NeurIPS 2018 paper: Deep Defense: Training DNNs with Improved Adversarial Robustness
  ☆39Updated 5 years ago
• val-iisc / fast-feature-fool
  Data independent universal adversarial perturbations
  ☆61Updated 4 years ago
• shinseung428 / DRS_Tensorflow
  Tensorflow implementation of Discriminator Rejection Sampling
  ☆24Updated 4 years ago
• alvinchangw / JARN_ICLR2020
  Implementation for Jacobian Adversarially Regularized Networks for Robustness (ICLR 2020)
  ☆21Updated 4 years ago
• ananyahjha93 / disentangling-factors-of-variation-using-adversarial-training
  This repository contains a pytorch implementation for the paper: Disentangling factors of variation in deep representations using adversa…
  ☆32Updated 6 years ago
• tkkiran / Robust-Conditional-GAN
  Code for reproducing results from our paper, Robustness of conditional GANs to noisy labels, NIPS 2018
  ☆40Updated 5 years ago
• MadryLab / robust-features-code
  Code for "Robustness May Be at Odds with Accuracy"
  ☆93Updated last year
• yxlao / reverse-gan.pytorch
  Precise Recovery of Latent Vectors from Generative Adversarial Networks in PyTorch
  ☆32Updated 7 years ago
• locuslab / projected_sinkhorn
  ☆86Updated 3 months ago
• alvinchangw / IGAM_CVPR2020
  Implementation for What it Thinks is Important is Important: Robustness Transfers through Input Gradients (CVPR 2020 Oral)
  ☆16Updated last year
• jlezama / disentangling-jacobian
  Source code for ICLR 2019 paper
  ☆24Updated 4 years ago
• chrisdonahue / sdgan
  Official implementation of "Semantically Decomposing the Latent Spaces of Generative Adversarial Networks"
  ☆95Updated 6 years ago
• tabacof / adv_vae
  Adversarial Images for Variational Autoencoders
  ☆13Updated 7 years ago
• adversarial-robustness-benchmark / adversarial-robustness-benchmark
  ☆18Updated 5 years ago
• MadryLab / robustness_lib
  ☆12Updated 5 years ago
• xiahaifeng1995 / adversarial-robustness
  ☆25Updated 5 years ago
• max-andr / cross-lipschitz
  Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation [NeurIPS 2017]
  ☆18Updated 6 years ago
• MadryLab / adversarial_spatial
  Investigating the robustness of state-of-the-art CNN architectures to simple spatial transformations.
  ☆49Updated 5 years ago
• stormraiser / gan-weightnorm-resnet
  Generative Adversarial Network with Weight Normalization + ResNet
  ☆22Updated 6 years ago