Alternatives and similar repositories for Adversarial-Distributional-Training

Users that are interested in Adversarial-Distributional-Training are comparing it to the libraries listed below

• zjfheart / Geometry-aware-Instance-reweighted-Adversarial-Training
  the paper "Geometry-aware Instance-reweighted Adversarial Training" ICLR 2021 oral
  ☆59Updated 4 years ago
• TransEmbedBA / TREMBA
  Code for Black-Box Adversarial Attack with Transferable Model-based Embedding
  ☆58Updated 5 years ago
• Haichao-Zhang / FeatureScatter
  Feature Scattering Adversarial Training (NeurIPS19)
  ☆73Updated last year
• ermongroup / ODS
  Code for "Diversity can be Transferred: Output Diversification for White- and Black-box Attacks"
  ☆53Updated 4 years ago
• ShawnXYang / AT_HE
  ☆35Updated 4 years ago
• qizhangli / linbp-attack
  Code for our NeurIPS 2020 paper Backpropagating Linearly Improves Transferability of Adversarial Examples.
  ☆42Updated 2 years ago
• YisenWang / MART
  Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"
  ☆150Updated 4 years ago
• tml-epfl / understanding-fast-adv-training
  Understanding and Improving Fast Adversarial Training [NeurIPS 2020]
  ☆95Updated 3 years ago
• bymavis / CAS_ICLR2021
  ☆58Updated 2 years ago
• dvlab-research / LBGAT
  Learnable Boundary Guided Adversarial Training (ICCV2021)
  ☆38Updated 7 months 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
• zjfheart / Friendly-Adversarial-Training
  Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)
  ☆125Updated last year
• YisenWang / dynamic_adv_training
  Code for ICML2019 Paper "On the Convergence and Robustness of Adversarial Training"
  ☆34Updated 5 years ago
• cmhcbb / attackbox
  ☆60Updated 3 years ago
• P2333 / Adaptive-Diversity-Promoting
  Adversarial Defense for Ensemble Models (ICML 2019)
  ☆61Updated 4 years ago
• haizhongzheng / ATTA
  ATTA (Efficient Adversarial Training with Transferable Adversarial Examples)
  ☆36Updated 4 years 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
• goldblum / AdversariallyRobustDistillation
  Pytorch implementation of Adversarially Robust Distillation (ARD)
  ☆59Updated 6 years ago
• Line290 / FeatureAttack
  Strongest attack against Feature Scatter and Adversarial Interpolation
  ☆25Updated 5 years ago
• imrahulr / adversarial_robustness_pytorch
  Unofficial implementation of the DeepMind papers "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples…
  ☆97Updated 3 years ago
• KaidiXu / StrAttack
  StrAttack, ICLR 2019
  ☆33Updated 5 years ago
• Cold-Winter / Nattack
  ☆48Updated 4 years ago
• yaircarmon / semisup-adv
  Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf
  ☆142Updated 5 years ago
• P2333 / SCORE
  A Self-Consistent Robust Error (ICML 2022)
  ☆68Updated 2 years ago
• cassidylaidlaw / ReColorAdv
  ReColorAdv and other attacks from the NeurIPS 2019 paper "Functional Adversarial Attacks"
  ☆37Updated 3 years ago
• fra31 / fab-attack
  Code for FAB-attack
  ☆33Updated 5 years ago
• zjysteven / DVERGE
  [NeurIPS'20 Oral] DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles
  ☆56Updated 3 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
• thu-ml / Prior-Guided-RGF
  ☆41Updated last year
• qizhangli / nobox-attacks
  Code for our NeurIPS 2020 paper Practical No-box Adversarial Attacks against DNNs.
  ☆34Updated 4 years ago