HanshuYAN / CIFS

Related projects ⓘ

Alternatives and complementary repositories for CIFS

• kai-wen-yang / CD-VAE
  [NeurIPS 2021] "Class-Disentanglement and Applications in Adversarial Detection and Defense"
  ☆43Updated 2 years ago
• dvlab-research / LBGAT
  Learnable Boundary Guided Adversarial Training (ICCV2021)
  ☆34Updated last year
• zjfheart / Geometry-aware-Instance-reweighted-Adversarial-Training
  the paper "Geometry-aware Instance-reweighted Adversarial Training" ICLR 2021 oral
  ☆57Updated 3 years ago
• qizhangli / linbp-attack
  Code for our NeurIPS 2020 paper Backpropagating Linearly Improves Transferability of Adversarial Examples.
  ☆42Updated last year
• nblt / Sub-AT
  [CVPR 2022 oral] Subspace Adversarial Training
  ☆26Updated last year
• VITA-Group / Alleviate-Robust-Overfitting
  [ICLR 2021] "Robust Overfitting may be mitigated by properly learned smoothening" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, Shiyu Chan…
  ☆46Updated 2 years ago
• bymavis / CAS_ICLR2021
  ☆55Updated 2 years ago
• goldblum / AdversariallyRobustDistillation
  Pytorch implementation of Adversarially Robust Distillation (ARD)
  ☆59Updated 5 years ago
• LijieFan / AdvCL
  [NeurIPS 2021] “When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?”
  ☆46Updated 3 years ago
• ShawnXYang / AT_HE
  ☆35Updated 3 years ago
• imrahulr / hat
  Helper-based Adversarial Training: Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off
  ☆29Updated 2 years ago
• zibojia / RSLAD
  This is the official code for "Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better"
  ☆39Updated 3 years ago
• whj363636 / Self-Ensemble-Adversarial-Training
  SEAT
  ☆20Updated last year
• point0bar1 / ebm-defense
  PyTorch implementation of BPDA+EOT attack to evaluate adversarial defense with an EBM
  ☆23Updated 4 years ago
• hongw579 / AGKD-BML
  Codes for ICCV 2021 paper "AGKD-BML: Defense Against Adversarial Attack by Attention Guided Knowledge Distillation and Bi-directional Met…
  ☆12Updated 2 years ago
• amazon-science / normalizer-free-robust-training
  Official implementation of "Removing Batch Normalization Boosts Adversarial Training" (ICML'22)
  ☆19Updated 2 years ago
• PKU-ML / CFA
  ☆17Updated last year
• val-iisc / DAJAT
  Official Code for Efficient and Effective Augmentation Strategy for Adversarial Training (NeurIPS-2022)
  ☆15Updated last year
• dongyp13 / Adversarial-Distributional-Training
  Adversarial Distributional Training (NeurIPS 2020)
  ☆61Updated 3 years ago
• xherdan76 / A-Unified-Approach-to-Interpreting-and-Boosting-Adversarial-Transferability
  A Unified Approach to Interpreting and Boosting Adversarial Transferability (ICLR2021)
  ☆28Updated 2 years ago
• val-iisc / NuAT
  Towards Efficient and Effective Adversarial Training, NeurIPS 2021
  ☆16Updated 2 years ago
• Muzammal-Naseer / TTP
  Official repository for "On Generating Transferable Targeted Perturbations" (ICCV 2021)
  ☆59Updated last year
• cvlab-columbia / SelfSupDefense
  ☆29Updated 2 years ago
• hannxu123 / fair_robust
  ☆10Updated 2 years ago
• jiaxiaojunQAQ / FGSM-PGI
  Code for Prior-Guided Adversarial Initialization for Fast Adversarial Training (ECCV2022)
  ☆23Updated last year
• tml-epfl / adv-training-corruptions
  On the effectiveness of adversarial training against common corruptions [UAI 2022]
  ☆30Updated 2 years ago
• jiaxiaojunQAQ / FGSM-SDI
  Code for Boosting fast adversarial training with learnable adversarial initialization (TIP2022)
  ☆29Updated last year
• krishnakanthnakka / Transferable_Perturbations
  [NeurIPS2021] Code Release of Learning Transferable Perturbations
  ☆26Updated 2 years ago
• JHL-HUST / RLFAT
  ☆13Updated 4 years ago
• DequanWang / dent
  Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks
  ☆37Updated 3 years ago