dongyp13 / memorization-AT

Related projects: ⓘ

• 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
• xherdan76 / A-Unified-Approach-to-Interpreting-and-Boosting-Adversarial-Transferability
  A Unified Approach to Interpreting and Boosting Adversarial Transferability (ICLR2021)
  ☆28Updated 2 years ago
• qizhangli / linbp-attack
  Code for our NeurIPS 2020 paper Backpropagating Linearly Improves Transferability of Adversarial Examples.
  ☆42Updated last year
• whj363636 / Self-Ensemble-Adversarial-Training
  SEAT
  ☆19Updated 11 months ago
• bymavis / CAS_ICLR2021
  ☆55Updated 2 years ago
• jiaxiaojunQAQ / FGSM-PGI
  Code for Prior-Guided Adversarial Initialization for Fast Adversarial Training (ECCV2022)
  ☆23Updated last year
• cassidylaidlaw / ReColorAdv
  ReColorAdv and other attacks from the NeurIPS 2019 paper "Functional Adversarial Attacks"
  ☆35Updated 2 years ago
• hannxu123 / fair_robust
  ☆10Updated 2 years ago
• zibojia / RSLAD
  This is the official code for "Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better"
  ☆37Updated 3 years ago
• point0bar1 / ebm-defense
  PyTorch implementation of BPDA+EOT attack to evaluate adversarial defense with an EBM
  ☆23Updated 4 years ago
• ShawnXYang / C-GSP
  ☆12Updated 2 years ago
• jiaxiaojunQAQ / FGSM-SDI
  Code for Boosting fast adversarial training with learnable adversarial initialization (TIP2022)
  ☆28Updated 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
• Framartin / lgv-geometric-transferability
  Source of the ECCV22 paper "LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity"
  ☆16Updated last year
• imrahulr / hat
  Helper-based Adversarial Training: Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off
  ☆29Updated 2 years ago
• SCLBD / Transfer_attack_RAP
  ☆32Updated last year
• Kira0096 / CGATTACK
  Official repository for CVPR 2022 paper 'Boosting Black-Box Attack with Partially Transferred Conditional Adversarial Distribution'
  ☆24Updated 2 years ago
• wubaoyuan / Sparse-Adversarial-Attack
  Implementation of ECCV 2020 "Sparse Adversarial Attack via Perturbation Factorization"
  ☆27Updated 4 years ago
• Provable0816 / Papers_of_Fast_Adversarial_Training
  ☆7Updated last year
• val-iisc / NuAT
  Towards Efficient and Effective Adversarial Training, NeurIPS 2021
  ☆16Updated 2 years ago
• psandovalsegura / autoregressive-poisoning
  Code for the paper "Autoregressive Perturbations for Data Poisoning" (NeurIPS 2022)
  ☆18Updated last week
• PKU-ML / CFA
  ☆17Updated last year
• ZhengyuZhao / Targeted-Transfer
  Simple yet effective targeted transferable attack (NeurIPS 2021)
  ☆47Updated last year
• HanxunH / CognitiveDistillation
  [ICLR2023] Distilling Cognitive Backdoor Patterns within an Image
  ☆30Updated 2 months ago
• ermongroup / ODS
  Code for "Diversity can be Transferred: Output Diversification for White- and Black-box Attacks"
  ☆52Updated 3 years ago
• dreamflake / ODI
  [CVPR 2022] Official implementation of the Object-based Diverse Input (ODI) method
  ☆21Updated 2 years ago
• krishnakanthnakka / Transferable_Perturbations
  [NeurIPS2021] Code Release of Learning Transferable Perturbations
  ☆25Updated 2 years ago
• TLMichael / Delusive-Adversary
  [NeurIPS 2021] Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training
  ☆31Updated 2 years ago
• JindongGu / Awesome_Adversarial_Transferability
  A curated list of papers for the transferability of adversarial examples
  ☆47Updated 2 months ago