Alternatives and similar repositories for GD-UAP

Users that are interested in GD-UAP are comparing it to the libraries listed below

• LiYingwei / ghost-network
  Source code for Learning Transferable Adversarial Examples via Ghost Networks (AAAI2020)
  ☆58Updated 6 years ago
• LiYingwei / Regional-Homogeneity
  Source code for Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses (ECCV 2020)
  ☆41Updated 6 years ago
• Cold-Winter / Nattack
  ☆48Updated 4 years ago
• LTS4 / SparseFool
  A fast sparse attack on deep neural networks.
  ☆50Updated 4 years ago
• rakutentech / stAdv
  Spatially Transformed Adversarial Examples with TensorFlow
  ☆74Updated 6 years ago
• aamir-mustafa / pcl-adversarial-defense
  Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks, in ICCV 2019
  ☆58Updated 5 years ago
• revbucket / mister_ed
  Pytorch Adversarial Attack Framework
  ☆78Updated 6 years ago
• OmidPoursaeed / Generative_Adversarial_Perturbations
  Generative Adversarial Perturbations (CVPR 2018)
  ☆138Updated 4 years ago
• PKUAI26 / AT-CNN
  Project page for our paper: Interpreting Adversarially Trained Convolutional Neural Networks
  ☆66Updated 5 years ago
• KaidiXu / StrAttack
  StrAttack, ICLR 2019
  ☆33Updated 5 years ago
• walegahaha / Curls-Whey
  The implementation of 'Curls & Whey: Boosting Black-Box Adversarial Attacks' in pytorch
  ☆60Updated 6 years ago
• fra31 / fab-attack
  Code for FAB-attack
  ☆33Updated 4 years ago
• MadryLab / blackbox-bandits
  Code for "Prior Convictions: Black-Box Adversarial Attacks with Bandits and Priors"
  ☆64Updated 5 years ago
• val-iisc / fast-feature-fool
  Data independent universal adversarial perturbations
  ☆61Updated 5 years ago
• ermongroup / ODS
  Code for "Diversity can be Transferred: Output Diversification for White- and Black-box Attacks"
  ☆53Updated 4 years ago
• BXuan694 / Universal-Adversarial-Perturbation
  This is PyTorch Implementation of Universal Adversarial Perturbation (https://arxiv.org/abs/1610.08401)
  ☆43Updated 6 years ago
• P2333 / Mixup-Inference
  Further improve robustness of mixup-trained models in inference (ICLR 2020)
  ☆60Updated 4 years ago
• aamir-mustafa / super-resolution-adversarial-defense
  Image Super-Resolution as a Defense Against Adversarial Attacks
  ☆90Updated 6 years ago
• labsix / adversarial-logit-pairing-analysis
  Analysis of Adversarial Logit Pairing
  ☆60Updated 6 years ago
• cihangxie / NIPS2017_adv_challenge_defense
  Mitigating Adversarial Effects Through Randomization
  ☆120Updated 7 years ago
• cihangxie / DAG
  Adversarial Examples for Semantic Segmentation and Object Detection
  ☆123Updated 7 years ago
• anlthms / nips-2017
  NIPS 2017 - Adversarial Learning
  ☆35Updated 7 years ago
• RanTaimu / Adversarial-Transformation-Network
  A simple implement of an Adversarial Autoencoding ATN(AAE ATN)
  ☆30Updated 7 years ago
• CUAI / Intermediate-Level-Attack
  [ICCV 2019] Enhancing Adversarial Example Transferability with an Intermediate Level Attack (https://arxiv.org/abs/1907.10823)
  ☆78Updated 5 years ago
• sunblaze-ucb / decision-boundaries
  code we used in Decision Boundary Analysis of Adversarial Examples https://openreview.net/forum?id=BkpiPMbA-
  ☆27Updated 6 years ago
• cailk / ensemble-adv-training-pytorch
  Ensemble Adversarial Training on MNIST with pytorch
  ☆20Updated 6 years ago
• jeromerony / fast_adversarial
  Code for the CVPR 2019 article "Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses"
  ☆135Updated 4 years ago
• Haichao-Zhang / FeatureScatter
  Feature Scattering Adversarial Training (NeurIPS19)
  ☆73Updated last year
• huanzhang12 / Adversarial_Survey
  Robustness vs Accuracy Survey on ImageNet
  ☆98Updated 3 years ago
• dtak / adversarial-robustness-public
  Code for AAAI 2018 accepted paper: "Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing the…
  ☆55Updated 2 years ago