Alternatives and similar repositories for Learn2Perturb

Users that are interested in Learn2Perturb are comparing it to the libraries listed below

• goldblum / AdversariallyRobustDistillation
  Pytorch implementation of Adversarially Robust Distillation (ARD)
  ☆59Updated 6 years ago
• JHL-HUST / RLFAT
  ☆14Updated 5 years ago
• Muzammal-Naseer / NRP
  Official repository for "A Self-supervised Approach for Adversarial Robustness" (CVPR 2020--Oral)
  ☆100Updated 4 years ago
• Muzammal-Naseer / CDA
  Official repository for "Cross-Domain Transferability of Adversarial Perturbations" (NeurIPS 2019)
  ☆62Updated 4 years ago
• Muzammal-Naseer / TTP
  Official repository for "On Generating Transferable Targeted Perturbations" (ICCV 2021)
  ☆62Updated 2 years ago
• tml-epfl / understanding-fast-adv-training
  Understanding and Improving Fast Adversarial Training [NeurIPS 2020]
  ☆96Updated 4 years ago
• dvlab-research / LBGAT
  Learnable Boundary Guided Adversarial Training (ICCV2021)
  ☆38Updated 10 months ago
• 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…
  ☆47Updated 3 years ago
• zibojia / RSLAD
  This is the official code for "Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better"
  ☆45Updated 4 years ago
• ShawnXYang / AT_HE
  ☆35Updated 4 years ago
• cassidylaidlaw / ReColorAdv
  ReColorAdv and other attacks from the NeurIPS 2019 paper "Functional Adversarial Attacks"
  ☆38Updated 3 years ago
• elliothe / CVPR_2019_PNI
  pytorch implementation of Parametric Noise Injection for adversarial defense
  ☆45Updated 6 years ago
• Haichao-Zhang / FeatureScatter
  Feature Scattering Adversarial Training (NeurIPS19)
  ☆74Updated last year
• fra31 / sparse-rs
  Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks
  ☆46Updated 3 years ago
• bymavis / CAS_ICLR2021
  ☆58Updated 3 years ago
• dongyp13 / Adversarial-Distributional-Training
  Adversarial Distributional Training (NeurIPS 2020)
  ☆63Updated 4 years ago
• erbloo / dr_cvpr20
  ☆26Updated 3 years ago
• LiYingwei / Regional-Homogeneity
  Source code for Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses (ECCV 2020)
  ☆42Updated 6 years ago
• Chenglin-Yang / PatchAttack
  PatchAttack (ECCV 2020)
  ☆64Updated 5 years ago
• csdongxian / skip-connections-matter
  Codes for ICLR 2020 paper "Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets"
  ☆70Updated 4 years ago
• tml-epfl / adv-training-corruptions
  On the effectiveness of adversarial training against common corruptions [UAI 2022]
  ☆30Updated 3 years ago
• val-iisc / GAMA-GAT
  Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses, NeurIPS Spotlight 2020
  ☆27Updated 4 years ago
• gatheluck / FourierHeatmap
  Unofficial pytorch implementation of Fourier Heat Map proposed in 'A Fourier Perspective on Model Robustness in Computer Vision' [Yin+, N…
  ☆75Updated last year
• zjfheart / Geometry-aware-Instance-reweighted-Adversarial-Training
  the paper "Geometry-aware Instance-reweighted Adversarial Training" ICLR 2021 oral
  ☆59Updated 4 years ago
• cvlab-columbia / SelfSupDefense
  ☆30Updated 3 years ago
• HanshuYAN / CIFS
  CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection
  ☆20Updated 4 years ago
• P2333 / Mixup-Inference
  Further improve robustness of mixup-trained models in inference (ICLR 2020)
  ☆60Updated 5 years ago
• DequanWang / dent
  Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks
  ☆39Updated 4 years ago
• dydjw9 / MetaAttack_ICLR2020
  ☆46Updated 5 years ago
• sukrutrao / Adversarial-Patch-Training
  Code for the paper: Adversarial Training Against Location-Optimized Adversarial Patches. ECCV-W 2020.
  ☆47Updated 2 years ago