whj363636 / Self-Ensemble-Adversarial-Training

Related projects ⓘ

Alternatives and complementary repositories for Self-Ensemble-Adversarial-Training

• xherdan76 / A-Unified-Approach-to-Interpreting-and-Boosting-Adversarial-Transferability
  A Unified Approach to Interpreting and Boosting Adversarial Transferability (ICLR2021)
  ☆28Updated 2 years ago
• point0bar1 / ebm-defense
  PyTorch implementation of BPDA+EOT attack to evaluate adversarial defense with an EBM
  ☆23Updated 4 years ago
• xpf / Data-Efficient-Backdoor-Attacks
  Data-Efficient Backdoor Attacks
  ☆18Updated 2 years ago
• dongyp13 / memorization-AT
  ☆19Updated 2 years ago
• Alan-Qin / Transfer_attack_RAP
  Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation (NeurIPS 2022)
  ☆33Updated last year
• jinghuichen / AWM
  Github repo for One-shot Neural Backdoor Erasing via Adversarial Weight Masking (NeurIPS 2022)
  ☆14Updated last year
• qizhangli / MoreBayesian-attack
  Code for our ICLR 2023 paper Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples.
  ☆18Updated last year
• hannxu123 / fair_robust
  ☆10Updated 2 years ago
• jiaxiaojunQAQ / FGSM-PGI
  Code for Prior-Guided Adversarial Initialization for Fast Adversarial Training (ECCV2022)
  ☆23Updated last year
• HanshuYAN / CIFS
  CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection
  ☆20Updated 3 years ago
• jiaxiaojunQAQ / FGSM-SDI
  Code for Boosting fast adversarial training with learnable adversarial initialization (TIP2022)
  ☆29Updated last year
• psandovalsegura / autoregressive-poisoning
  Code for the paper "Autoregressive Perturbations for Data Poisoning" (NeurIPS 2022)
  ☆18Updated 2 months ago
• Framartin / lgv-geometric-transferability
  Source of the ECCV22 paper "LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity"
  ☆17Updated last year
• PKU-ML / CFA
  ☆17Updated last year
• zibojia / RSLAD
  This is the official code for "Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better"
  ☆39Updated 3 years ago
• imrahulr / hat
  Helper-based Adversarial Training: Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off
  ☆29Updated 2 years ago
• wubaoyuan / Sparse-Adversarial-Attack
  Implementation of ECCV 2020 "Sparse Adversarial Attack via Perturbation Factorization"
  ☆27Updated 4 years ago
• cassidylaidlaw / ReColorAdv
  ReColorAdv and other attacks from the NeurIPS 2019 paper "Functional Adversarial Attacks"
  ☆36Updated 2 years ago
• cvlab-columbia / SelfSupDefense
  ☆29Updated 2 years ago
• Sandy-Zeng / NPAttack
  Pytorch implementation of NPAttack
  ☆12Updated 4 years ago
• SCLBD / Transfer_attack_RAP
  ☆32Updated last year
• v-wangg / OrthogonalPGD
  ☆22Updated 3 years ago
• liuzrcc / ImageShortcutSqueezing
  Image Shortcut Squeezing: Countering Perturbative Availability Poisons with Compression
  ☆11Updated 4 months ago
• Asteriajojo / M3D
  Minimizing Maximum Model Discrepancy for Transferable Black-box Targeted Attacks(CVPR2023)
  ☆17Updated last year
• bymavis / CAS_ICLR2021
  ☆55Updated 2 years ago
• AISafety-HKUST / Backdoor_Safety_Tuning
  Backdoor Safety Tuning (NeurIPS 2023 & 2024 Spotlight)
  ☆24Updated this week
• cleverhans-lab / dataset-inference
  [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning
  ☆31Updated 2 years ago
• ydc123 / Dark_Surrogate_Model
  Official code for "Boosting the Adversarial Transferability of Surrogate Model with Dark Knowledge"
  ☆11Updated 11 months ago
• val-iisc / DAJAT
  Official Code for Efficient and Effective Augmentation Strategy for Adversarial Training (NeurIPS-2022)
  ☆15Updated last year
• Kira0096 / CGATTACK
  Official repository for CVPR 2022 paper 'Boosting Black-Box Attack with Partially Transferred Conditional Adversarial Distribution'
  ☆24Updated 2 years ago