Alternatives and similar repositories for Adversarial-LWTA-AutoAttack:

Users that are interested in Adversarial-LWTA-AutoAttack are comparing it to the libraries listed below

• boyellow / AdaAD
  Code for the paper Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation (CVPR 2023).
  ☆34Updated last year
• xpf / Data-Efficient-Backdoor-Attacks
  Data-Efficient Backdoor Attacks
  ☆18Updated 2 years ago
• dwDavidxd / ARN
  Towards Defending against Adversarial Examples via Attack-Invariant Features
  ☆10Updated last year
• whj363636 / Self-Ensemble-Adversarial-Training
  SEAT
  ☆20Updated last year
• PKU-ML / CFA
  ☆20Updated 2 weeks ago
• Nathangitlab / Backdoor-Attacks-on-Crowd-Counting
  this is for the ACM MM paper---Backdoor Attack on Crowd Counting
  ☆18Updated 2 years ago
• zhipeng-wei / PNA-PatchOut
  ☆35Updated 8 months ago
• vinusankars / Convolution-based-Unlearnability
  ☆18Updated last year
• val-iisc / DAJAT
  Official Code for Efficient and Effective Augmentation Strategy for Adversarial Training (NeurIPS-2022)
  ☆16Updated 2 years ago
• jiaxiaojunQAQ / FGSM-PGI
  Code for Prior-Guided Adversarial Initialization for Fast Adversarial Training (ECCV2022)
  ☆26Updated 2 years ago
• jiaxiaojunQAQ / FGSM-SDI
  Code for Boosting fast adversarial training with learnable adversarial initialization (TIP2022)
  ☆29Updated last year
• RU-System-Software-and-Security / UNICORN
  ☆15Updated last year
• ChaojianYu / Robust-Weight-Perturbation
  Implementation for <Robust Weight Perturbation for Adversarial Training> in IJCAI'22.
  ☆14Updated 2 years ago
• UCDvision / PatchSearch
  Code for the CVPR '23 paper, "Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning"
  ☆11Updated last year
• jinghuichen / AWM
  Github repo for One-shot Neural Backdoor Erasing via Adversarial Weight Masking (NeurIPS 2022)
  ☆15Updated 2 years ago
• VITA-Group / Trap-and-Replace-Backdoor-Defense
  [NeurIPS'22] Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork. Haotao Wang, Junyuan Hong,…
  ☆14Updated last year
• RJ-T / NIPS2022_EP_BNP
  Official Implementation of NIPS 2022 paper Pre-activation Distributions Expose Backdoor Neurons
  ☆14Updated 2 years ago
• dayu11 / Availability-Attacks-Create-Shortcuts
  ☆10Updated 2 years ago
• ShawnXYang / C-GSP
  ☆13Updated 2 years ago
• nblt / Sub-AT
  [CVPR 2022 oral] Subspace Adversarial Training
  ☆26Updated last year
• Asteriajojo / M3D
  Minimizing Maximum Model Discrepancy for Transferable Black-box Targeted Attacks(CVPR2023)
  ☆17Updated last year
• inspire-group / tta_risk
  ☆11Updated last year
• GATECH-EIC / Patch-Fool
  [ICLR 2022] "Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations?" by Yonggan Fu, Shunyao Zhang, Shang Wu…
  ☆34Updated 3 years ago
• qizhangli / MoreBayesian-attack
  Code for our ICLR 2023 paper Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples.
  ☆17Updated last year
• abhishekaich27 / GAMA-pytorch
  [NeurIPS'22] GAMA: Generative Adversarial Multi-Object Scene Attacks
  ☆17Updated last year
• xherdan76 / A-Unified-Approach-to-Interpreting-and-Boosting-Adversarial-Transferability
  A Unified Approach to Interpreting and Boosting Adversarial Transferability (ICLR2021)
  ☆29Updated 2 years ago
• HanshuYAN / CIFS
  CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection
  ☆20Updated 3 years ago
• cuge1995 / ICCV-2021-adversarial-attacks-and-defense
  ICCV 2021 papers and code focus on adversarial attacks and defense
  ☆11Updated 3 years ago
• Kira0096 / CGATTACK
  Official repository for CVPR 2022 paper 'Boosting Black-Box Attack with Partially Transferred Conditional Adversarial Distribution'
  ☆26Updated 3 years ago
• hannxu123 / fair_robust
  ☆11Updated 2 years ago