Alternatives and similar repositories for DeACL

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

• zhipeng-wei / PNA-PatchOut
  ☆34Updated 10 months ago
• abhishekaich27 / GAMA-pytorch
  [NeurIPS 2022] GAMA: Generative Adversarial Multi-Object Scene Attacks
  ☆17Updated last year
• boyellow / AdaAD
  Code for the paper Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation (CVPR 2023).
  ☆34Updated last year
• vinusankars / Convolution-based-Unlearnability
  ☆18Updated last year
• wkim97 / FSR
  Feature Separation and Recalibration (CVPR 2023 Highlights)
  ☆32Updated last year
• yqy2001 / A-InfoNCE
  [ECCV 2022] "Adversarial Contrastive Learning via Asymmetric InfoNCE"
  ☆23Updated 2 years ago
• LijieFan / AdvCL
  [NeurIPS 2021] “When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?”
  ☆48Updated 3 years ago
• jiaxiaojunQAQ / FGSM-PGI
  Code for Prior-Guided Adversarial Initialization for Fast Adversarial Training (ECCV2022)
  ☆26Updated 2 years ago
• TreeLLi / APT
  One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models
  ☆47Updated 4 months ago
• GATECH-EIC / Patch-Fool
  [ICLR 2022] "Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations?" by Yonggan Fu, Shunyao Zhang, Shang Wu…
  ☆33Updated 3 years ago
• Muzammal-Naseer / ATViT
  Official repository for "On Improving Adversarial Transferability of Vision Transformers" (ICLR 2022--Spotlight)
  ☆72Updated 2 years ago
• krishnakanthnakka / Transferable_Perturbations
  [NeurIPS2021] Code Release of Learning Transferable Perturbations
  ☆28Updated 5 months ago
• cvlab-columbia / ZSRobust4FoundationModel
  ☆41Updated last year
• jeromerony / alma_prox_segmentation
  Code for the CVPR 2023 paper "Proximal Splitting Adversarial Attacks for Semantic Segmentation"
  ☆21Updated last year
• xiaosen-wang / SIT
  [ICCV 2023] Structure Invariant Transformation for better Adversarial Transferability
  ☆23Updated last year
• dreamflake / CFM
  [CVPR 2023] Official implementation of the Clean Feature Mixup (CFM) method
  ☆16Updated last year
• UniSerj / Random-Projection-Filters
  [CVPR 2023] Adversarial Robustness via Random Projection Filters
  ☆14Updated last year
• val-iisc / DAJAT
  Official Code for Efficient and Effective Augmentation Strategy for Adversarial Training (NeurIPS-2022)
  ☆16Updated 2 years ago
• xherdan76 / A-Unified-Approach-to-Interpreting-and-Boosting-Adversarial-Transferability
  A Unified Approach to Interpreting and Boosting Adversarial Transferability (ICLR2021)
  ☆29Updated 3 years ago
• nmndeep / Robust-Segmentation
  [ECCV 2024] Towards Reliable Evaluation and Fast Training of Robust Semantic Segmentation Models
  ☆19Updated 9 months ago
• zibojia / RSLAD
  This is the official code for "Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better"
  ☆40Updated 3 years ago
• Muzammal-Naseer / TTP
  Official repository for "On Generating Transferable Targeted Perturbations" (ICCV 2021)
  ☆61Updated 2 years ago
• cvlab-columbia / SelfSupDefense
  ☆30Updated 3 years ago
• phibenz / uap_virtual_data.pytorch
  ☆28Updated 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
• dwDavidxd / ARN
  Towards Defending against Adversarial Examples via Attack-Invariant Features
  ☆10Updated last year
• Alexkael / Randomized-Adversarial-Training
  ☆29Updated 11 months ago
• konpanousis / Adversarial-LWTA-AutoAttack
  ☆10Updated 3 years ago
• jiaxiaojunQAQ / FGSM-SDI
  Code for Boosting fast adversarial training with learnable adversarial initialization (TIP2022)
  ☆29Updated last year
• retsuh-bqw / ICCV23-Towards-Building-More-Robust-Models-with-Frequency-Bias
  [ICCV 2023] Towards Building More Robust Models with Frequency Bias
  ☆16Updated last year