Alternatives and similar repositories for ViewFool_:

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

• cvlab-columbia / ZSRobust4FoundationModel
  ☆40Updated last year
• abhishekaich27 / GAMA-pytorch
  [NeurIPS'22] GAMA: Generative Adversarial Multi-Object Scene Attacks
  ☆15Updated last year
• cvlab-columbia / SelfSupDefense
  ☆29Updated 2 years ago
• facebookresearch / augmentation-corruption
  This repository provides code for "On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness".
  ☆45Updated 2 years ago
• Muzammal-Naseer / TTP
  Official repository for "On Generating Transferable Targeted Perturbations" (ICCV 2021)
  ☆60Updated last year
• Muzammal-Naseer / ATViT
  Official repository for "On Improving Adversarial Transferability of Vision Transformers" (ICLR 2022--Spotlight)
  ☆71Updated 2 years ago
• Chenglin-Yang / PatchAttack
  PatchAttack (ECCV 2020)
  ☆60Updated 4 years ago
• TreeLLi / APT
  One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models
  ☆43Updated last month
• krishnakanthnakka / Transferable_Perturbations
  [NeurIPS2021] Code Release of Learning Transferable Perturbations
  ☆27Updated 2 months ago
• lafeat / lafeat
  LAFEAT: Piercing Through Adversarial Defenses with Latent Features (CVPR 2021 Oral)
  ☆17Updated 3 years ago
• whj363636 / Self-Ensemble-Adversarial-Training
  SEAT
  ☆20Updated last year
• LightDXY / GreedyFool
  GreedyFool (NIPS2020) official code for saprse adversarial attack
  ☆35Updated 4 years ago
• vinusankars / Convolution-based-Unlearnability
  ☆18Updated last year
• chawins / adv-part-model
  Code for a research paper "Part-Based Models Improve Adversarial Robustness" (ICLR 2023)
  ☆22Updated last year
• val-iisc / DAJAT
  Official Code for Efficient and Effective Augmentation Strategy for Adversarial Training (NeurIPS-2022)
  ☆16Updated last year
• Aries-iai / TT3D
  The official implementation for "Towards Transferable Targeted 3D Adversarial Attack in the Physical World" (CVPR, 2024))
  ☆25Updated 6 months ago
• Sizhe-Chen / AAA
  official repository for the NeurIPS 2022 paper "Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Att…
  ☆20Updated 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
• nmndeep / revisiting-at
  [NeurIPS 2023] Code for the paper "Revisiting Adversarial Training for ImageNet: Architectures, Training and Generalization across Threa…
  ☆38Updated 2 months ago
• Kira0096 / CGATTACK
  Official repository for CVPR 2022 paper 'Boosting Black-Box Attack with Partially Transferred Conditional Adversarial Distribution'
  ☆26Updated 2 years ago
• EnVision-Research / Adv3D
  ☆15Updated last year
• ShawnXYang / AT_HE
  ☆35Updated 4 years ago
• jinyugy21 / Adv-Stickers_RHDE
  Adversarial Stickers: A Stealthy Attack Method in the Physical World (TPAMI 2022)
  ☆36Updated 2 years ago
• cassidylaidlaw / ReColorAdv
  ReColorAdv and other attacks from the NeurIPS 2019 paper "Functional Adversarial Attacks"
  ☆37Updated 2 years ago
• imrahulr / hat
  Helper-based Adversarial Training: Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off
  ☆29Updated 2 years ago
• qizhangli / MoreBayesian-attack
  Code for our ICLR 2023 paper Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples.
  ☆18Updated last year
• retsuh-bqw / ICCV23-Towards-Building-More-Robust-Models-with-Frequency-Bias
  [ICCV 2023] Towards Building More Robust Models with Frequency Bias
  ☆15Updated 11 months ago
• Muzammal-Naseer / CDA
  Official repository for "Cross-Domain Transferability of Adversarial Perturbations" (NeurIPS 2019)
  ☆59Updated 3 years ago
• kai-wen-yang / CD-VAE
  [NeurIPS 2021] "Class-Disentanglement and Applications in Adversarial Detection and Defense"
  ☆44Updated 3 years ago
• xherdan76 / A-Unified-Approach-to-Interpreting-and-Boosting-Adversarial-Transferability
  A Unified Approach to Interpreting and Boosting Adversarial Transferability (ICLR2021)
  ☆29Updated 2 years ago