Alternatives and similar repositories for Papers_of_Fast_Adversarial_Training

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

• jinghuichen / AWM
  Github repo for One-shot Neural Backdoor Erasing via Adversarial Weight Masking (NeurIPS 2022)
  ☆15Updated 2 years ago
• LiangSiyuan21 / Parallel-Rectangle-Flip-Attack-A-Query-based-Black-box-Attack-against-Object-Detection
  A Implementation of ICCV-2021(Parallel Rectangle Flip Attack: A Query-based Black-box Attack against Object Detection)
  ☆28Updated 3 years ago
• Alan-Qin / Transfer_attack_RAP
  Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation (NeurIPS 2022)
  ☆33Updated 2 years ago
• jiaxiaojunQAQ / FGSM-PGI
  Code for Prior-Guided Adversarial Initialization for Fast Adversarial Training (ECCV2022)
  ☆26Updated 2 years ago
• whj363636 / Self-Ensemble-Adversarial-Training
  SEAT
  ☆20Updated last year
• xherdan76 / A-Unified-Approach-to-Interpreting-and-Boosting-Adversarial-Transferability
  A Unified Approach to Interpreting and Boosting Adversarial Transferability (ICLR2021)
  ☆29Updated 3 years ago
• val-iisc / NuAT
  Towards Efficient and Effective Adversarial Training, NeurIPS 2021
  ☆17Updated 3 years ago
• xpf / Data-Efficient-Backdoor-Attacks
  Data-Efficient Backdoor Attacks
  ☆18Updated 3 years ago
• psandovalsegura / pytorch-gd-uap
  Generalized Data-free Universal Adversarial Perturbations in PyTorch
  ☆19Updated 4 years ago
• dongyp13 / memorization-AT
  ☆21Updated 3 years ago
• Huang-yihao / Personalization-based_backdoor
  ☆10Updated 6 months ago
• ydc123 / Dark_Surrogate_Model
  Official code for "Boosting the Adversarial Transferability of Surrogate Model with Dark Knowledge"
  ☆11Updated last year
• Asteriajojo / M3D
  Minimizing Maximum Model Discrepancy for Transferable Black-box Targeted Attacks(CVPR2023)
  ☆16Updated 2 years ago
• Ekko-zn / IJCAI2022-Backdoor
  ☆19Updated 3 years ago
• RU-System-Software-and-Security / NONE
  ☆11Updated 2 years ago
• psandovalsegura / autoregressive-poisoning
  Code for the paper "Autoregressive Perturbations for Data Poisoning" (NeurIPS 2022)
  ☆20Updated 9 months ago
• PKU-ML / CFA
  ☆20Updated 3 months ago
• zibojia / RSLAD
  This is the official code for "Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better"
  ☆41Updated 3 years ago
• Framartin / lgv-geometric-transferability
  Source of the ECCV22 paper "LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity"
  ☆18Updated 3 months ago
• uchicago-sandlab / naturalbackdoors
  Code for identifying natural backdoors in existing image datasets.
  ☆15Updated 2 years ago
• lafeat / apbench
  APBench: A Unified Availability Poisoning Attack and Defenses Benchmark (TMLR 08/2024)
  ☆30Updated 2 months ago
• sunbelbd / invisible_backdoor_attacks
  ☆19Updated 3 years ago
• Saehyung-Lee / cifar10_challenge
  Code for the CVPR 2020 article "Adversarial Vertex mixup: Toward Better Adversarially Robust Generalization"
  ☆13Updated 4 years ago
• jiaxiaojunQAQ / FGSM-SDI
  Code for Boosting fast adversarial training with learnable adversarial initialization (TIP2022)
  ☆29Updated last year
• vtddggg / CAA
  The implementation of our paper: Composite Adversarial Attacks (AAAI2021)
  ☆30Updated 3 years ago
• CGCL-codes / TeCo
  [CVPR 2023] The official implementation of our CVPR 2023 paper "Detecting Backdoors During the Inference Stage Based on Corruption Robust…
  ☆23Updated 2 years ago
• WenRuiUSTC / EntF
  PyTorch implementation of our ICLR 2023 paper titled "Is Adversarial Training Really a Silver Bullet for Mitigating Data Poisoning?".
  ☆12Updated 2 years ago
• HXZhong1997 / FSBA
  ☆11Updated 3 years ago
• ZFancy / IAD
  [ICLR 2022] Reliable Adversarial Distillation with Unreliable Teachers
  ☆21Updated 3 years ago
• HanxunH / CognitiveDistillation
  [ICLR2023] Distilling Cognitive Backdoor Patterns within an Image
  ☆36Updated 8 months ago