Alternatives and similar repositories for GFCS

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

• erbloo / dr_cvpr20
  ☆26Updated 4 years ago
• M4xim4l / InNOutRobustness
  Adversarial Robustness on In- and Out-Distribution Improves Explainability
  ☆12Updated 3 years ago
• JHL-HUST / RLFAT
  ☆14Updated 5 years ago
• Chenglin-Yang / PatchAttack
  PatchAttack (ECCV 2020)
  ☆64Updated 5 years ago
• armenjeddi / Learn2Perturb
  ☆23Updated 4 years ago
• val-iisc / DAJAT
  Official Code for Efficient and Effective Augmentation Strategy for Adversarial Training (NeurIPS-2022)
  ☆16Updated 2 years ago
• anonymous-sushi-armadillo / fast_is_better_than_free_CIFAR10
  ☆13Updated last year
• sukrutrao / Adversarial-Patch-Training
  Code for the paper: Adversarial Training Against Location-Optimized Adversarial Patches. ECCV-W 2020.
  ☆47Updated 2 years ago
• ShawnXYang / AT_HE
  ☆35Updated 5 years ago
• MadryLab / blackbox-bandits
  Code for "Prior Convictions: Black-Box Adversarial Attacks with Bandits and Priors"
  ☆64Updated 5 years ago
• Muzammal-Naseer / CDA
  Official repository for "Cross-Domain Transferability of Adversarial Perturbations" (NeurIPS 2019)
  ☆63Updated 4 years ago
• val-iisc / GAMA-GAT
  Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses, NeurIPS Spotlight 2020
  ☆27Updated 5 years ago
• Muzammal-Naseer / NRP
  Official repository for "A Self-supervised Approach for Adversarial Robustness" (CVPR 2020--Oral)
  ☆100Updated 4 years ago
• LiYingwei / ghost-network
  Source code for Learning Transferable Adversarial Examples via Ghost Networks (AAAI2020)
  ☆58Updated 6 years ago
• Sandy-Zeng / NPAttack
  Pytorch implementation of NPAttack
  ☆12Updated 5 years ago
• tml-epfl / adv-training-corruptions
  On the effectiveness of adversarial training against common corruptions [UAI 2022]
  ☆30Updated 3 years ago
• Muzammal-Naseer / TTP
  Official repository for "On Generating Transferable Targeted Perturbations" (ICCV 2021)
  ☆62Updated 2 years ago
• JZ-LIANG / Ensemble-Adversarial-Training
  Pytorch code for ens_adv_train
  ☆16Updated 6 years ago
• tml-epfl / understanding-fast-adv-training
  Understanding and Improving Fast Adversarial Training [NeurIPS 2020]
  ☆96Updated 4 years ago
• HanshuYAN / CIFS
  CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection
  ☆20Updated 4 years ago
• fra31 / sparse-rs
  Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks
  ☆46Updated 3 years ago
• ndb796 / PyTorch-Adversarial-Attack-Baselines-for-ImageNet-CIFAR10-MNIST
  PyTorch adversarial attack baselines for ImageNet, CIFAR10, and MNIST (state-of-the-art attacks comparison)
  ☆19Updated 4 years ago
• cassidylaidlaw / perceptual-advex
  Code and data for the ICLR 2021 paper "Perceptual Adversarial Robustness: Defense Against Unseen Threat Models".
  ☆56Updated 3 years ago
• goldblum / AdversariallyRobustDistillation
  Pytorch implementation of Adversarially Robust Distillation (ARD)
  ☆59Updated 6 years ago
• ermongroup / ODS
  Code for "Diversity can be Transferred: Output Diversification for White- and Black-box Attacks"
  ☆53Updated 5 years ago
• wjyouch / bilateral-adversarial-training
  ☆16Updated 6 years ago
• qizhangli / linbp-attack
  Code for our NeurIPS 2020 paper Backpropagating Linearly Improves Transferability of Adversarial Examples.
  ☆42Updated 2 years ago
• val-iisc / GD-UAP
  Generalized Data-free Universal Adversarial Perturbations
  ☆73Updated 7 years ago
• dongyp13 / Adversarial-Distributional-Training
  Adversarial Distributional Training (NeurIPS 2020)
  ☆63Updated 4 years ago
• hmdolatabadi / AdvFlow
  [NeurIPS2020] The official repository of "AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows".
  ☆49Updated 2 years ago