Alternatives and similar repositories for GCE:

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

• PKUAI26 / AT-CNN
  Project page for our paper: Interpreting Adversarially Trained Convolutional Neural Networks
  ☆66Updated 5 years ago
• xiahaifeng1995 / adversarial-robustness
  ☆25Updated 5 years ago
• bhheo / BSS_distillation
  Knowledge Distillation with Adversarial Samples Supporting Decision Boundary (AAAI 2019)
  ☆70Updated 5 years ago
• LiYingwei / ghost-network
  Source code for Learning Transferable Adversarial Examples via Ghost Networks (AAAI2020)
  ☆59Updated 6 years ago
• columbia / Metric_Learning_Adversarial_Robustness
  Code for NeurIPS 2019 Paper
  ☆48Updated 4 years ago
• aamir-mustafa / pcl-adversarial-defense
  Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks, in ICCV 2019
  ☆59Updated 5 years ago
• huanzhang12 / ImageCaptioningAttack
  Show-and-Fool: Adversarial Examples for Image Captioning task
  ☆55Updated 3 years ago
• henry8527 / COT
  [ICLR'19] Complement Objective Training
  ☆76Updated 6 years ago
• cihangxie / SmoothAdversarialTraining
  Smooth Adversarial Training
  ☆67Updated 4 years ago
• RanTaimu / Adversarial-Transformation-Network
  A simple implement of an Adversarial Autoencoding ATN(AAE ATN)
  ☆30Updated 7 years ago
• VITA-Group / Adv-SS-Pretraining
  [CVPR 2020] Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning
  ☆85Updated 3 years ago
• prior-guided-rgf / Prior-Guided-RGF
  Code for the NeurIPS 2019 submission: "Improving Black-box Adversarial Attacks with a Transfer-based Prior".
  ☆16Updated 4 years ago
• P2333 / Mixup-Inference
  Further improve robustness of mixup-trained models in inference (ICLR 2020)
  ☆60Updated 4 years ago
• xuanqing94 / RobGAN
  Rob-GAN: Generator, Discriminator and Adversarial Attacker
  ☆84Updated 5 years ago
• asranand7 / Adverserial_Attack
  Different Adversarial attack methods implemented in PyTorch on CIFAR-10 Dataset
  ☆18Updated 6 years ago
• pedro-morgado / nettailor
  Source code accompanying our CVPR 2019 paper: "NetTailor: Tuning the architecture, not just the weights."
  ☆52Updated 3 years ago
• rwightman / pytorch-nips2017-attack-example
  A PyTorch baseline attack example for the NIPS 2017 adversarial competition
  ☆85Updated 7 years ago
• bfshi / InfoDrop
  Code for our paper "Informative Dropout for Robust Representation Learning: A Shape-bias Perspective" (ICML 2020)
  ☆125Updated 2 years ago
• labsix / adversarial-logit-pairing-analysis
  Analysis of Adversarial Logit Pairing
  ☆60Updated 6 years ago
• aamir-mustafa / super-resolution-adversarial-defense
  Image Super-Resolution as a Defense Against Adversarial Attacks
  ☆91Updated 6 years ago
• LiYingwei / Regional-Homogeneity
  Source code for Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses (ECCV 2020)
  ☆41Updated 5 years ago
• LTS4 / SparseFool
  A fast sparse attack on deep neural networks.
  ☆50Updated 4 years ago
• iamaaditya / pixel-deflection
  Deflecting Adversarial Attacks with Pixel Deflection
  ☆70Updated 6 years ago
• MadryLab / spatial-pytorch
  Codebase for "Exploring the Landscape of Spatial Robustness" (ICML'19, https://arxiv.org/abs/1712.02779).
  ☆26Updated 5 years ago
• YunseokJANG / l2l-da
  Repository for our ICCV 2019 paper: Adversarial Defense via Learning to Generate Diverse Attacks
  ☆22Updated 3 years ago
• jeromerony / fast_adversarial
  Code for the CVPR 2019 article "Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses"
  ☆134Updated 4 years ago
• ceciliaresearch / MixedExample
  ☆17Updated 6 years ago
• walegahaha / Curls-Whey
  The implementation of 'Curls & Whey: Boosting Black-Box Adversarial Attacks' in pytorch
  ☆60Updated 5 years ago
• ftramer / MultiRobustness
  Code for the paper "Adversarial Training and Robustness for Multiple Perturbations", NeurIPS 2019
  ☆47Updated 2 years ago
• ShawnXYang / AT_HE
  ☆35Updated 4 years ago