Alternatives and similar repositories for RobustWRN:

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

• 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 3 years ago
• HanxunH / MDAttack
  [Machine Learning 2023] Imbalanced Gradients: A Subtle Cause of Overestimated Adversarial Robustness
  ☆17Updated 10 months ago
• ChaojianYu / Understanding-Robust-Overfitting
  Implementation for <Understanding Robust Overftting of Adversarial Training and Beyond> in ICML'22.
  ☆12Updated 2 years ago
• cassidylaidlaw / perceptual-advex
  Code and data for the ICLR 2021 paper "Perceptual Adversarial Robustness: Defense Against Unseen Threat Models".
  ☆55Updated 3 years ago
• tml-epfl / understanding-fast-adv-training
  Understanding and Improving Fast Adversarial Training [NeurIPS 2020]
  ☆95Updated 3 years ago
• dedeswim / vits-robustness-torch
  Code for the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]
  ☆52Updated 2 years ago
• zjfheart / Geometry-aware-Instance-reweighted-Adversarial-Training
  the paper "Geometry-aware Instance-reweighted Adversarial Training" ICLR 2021 oral
  ☆59Updated 4 years ago
• GATECH-EIC / Robust-Scratch-Ticket
  [NeurIPS 2021] "Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks" by Yon…
  ☆13Updated 3 years ago
• TLMichael / Delusive-Adversary
  [NeurIPS 2021] Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training
  ☆31Updated 3 years ago
• cychomatica / One-Pixel-Shotcut
  One-Pixel Shortcut: on the Learning Preference of Deep Neural Networks (ICLR 2023 Spotlight)
  ☆13Updated 2 years ago
• goldblum / AdversariallyRobustDistillation
  Pytorch implementation of Adversarially Robust Distillation (ARD)
  ☆59Updated 5 years ago
• DequanWang / dent
  Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks
  ☆38Updated 3 years ago
• shizhouxing / Fast-Certified-Robust-Training
  [NeurIPS 2021] Fast Certified Robust Training with Short Warmup
  ☆24Updated last year
• haizhongzheng / ATTA
  ATTA (Efficient Adversarial Training with Transferable Adversarial Examples)
  ☆36Updated 4 years ago
• fra31 / robust-finetuning
  Code relative to "Adversarial robustness against multiple and single $l_p$-threat models via quick fine-tuning of robust classifiers"
  ☆18Updated 2 years ago
• qizhangli / linbp-attack
  Code for our NeurIPS 2020 paper Backpropagating Linearly Improves Transferability of Adversarial Examples.
  ☆42Updated 2 years ago
• bymavis / CAS_ICLR2021
  ☆58Updated 2 years ago
• imrahulr / adversarial_robustness_pytorch
  Unofficial implementation of the DeepMind papers "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples…
  ☆96Updated 3 years ago
• tml-epfl / adv-training-corruptions
  On the effectiveness of adversarial training against common corruptions [UAI 2022]
  ☆30Updated 2 years ago
• BorealisAI / mma_training
  Code for the paper "MMA Training: Direct Input Space Margin Maximization through Adversarial Training"
  ☆34Updated 5 years ago
• ShawnXYang / AT_HE
  ☆35Updated 4 years ago
• BrachioLab / adversarial_prompting
  ☆53Updated last year
• val-iisc / GAMA-GAT
  Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses, NeurIPS Spotlight 2020
  ☆27Updated 4 years ago
• imrahulr / hat
  Helper-based Adversarial Training: Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off
  ☆30Updated 3 years ago
• P2333 / SCORE
  A Self-Consistent Robust Error (ICML 2022)
  ☆67Updated last year
• ashafahi / RobustTransferLWF
  Adversarially Robust Transfer Learning with LWF loss applied to the deep feature representation (penultimate) layer
  ☆18Updated 5 years ago
• Haichao-Zhang / FeatureScatter
  Feature Scattering Adversarial Training (NeurIPS19)
  ☆73Updated 11 months ago
• kyleliang919 / Uncovering-the-Connections-BetweenAdversarial-Transferability-and-Knowledge-Transferability
  code for ICML 2021 paper in which we explore the relationship between adversarial transferability and knowledge transferability.
  ☆17Updated 2 years ago
• karandwivedi42 / adversarial
  Pytorch - Adversarial Training
  ☆26Updated 6 years ago
• nblt / Sub-AT
  [CVPR 2022 oral] Subspace Adversarial Training
  ☆26Updated 2 years ago