Alternatives and similar repositories for Adversarial-Reading

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

• hcguoO0 / FIA
  code for "Feature Importance-aware Transferable Adversarial Attacks"
  ☆82Updated 3 years ago
• Alan-Qin / Transfer_attack_RAP
  Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation (NeurIPS 2022)
  ☆33Updated 2 years ago
• JHL-HUST / SVRE
  Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability
  ☆23Updated 2 years ago
• JindongGu / Awesome_Adversarial_Transferability
  A curated list of papers for the transferability of adversarial examples
  ☆70Updated 11 months ago
• liuye6666 / adaptive_auto_attack
  Adversarial Robustness, White-box, Adversarial Attack
  ☆50Updated 2 years ago
• Alexkael / Randomized-Adversarial-Training
  ☆29Updated last year
• jpzhang1810 / NAA
  Official Tensorflow implementation for "Improving Adversarial Transferability via Neuron Attribution-based Attacks" (CVPR 2022)
  ☆34Updated 2 years ago
• ZhengyuZhao / Targeted-Transfer
  Simple yet effective targeted transferable attack (NeurIPS 2021)
  ☆51Updated 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
• kenny-co / sgd-uap-torch
  Universal Adversarial Perturbations (UAPs) for PyTorch
  ☆48Updated 3 years ago
• jiaxiaojunQAQ / FGSM-PGI
  Code for Prior-Guided Adversarial Initialization for Fast Adversarial Training (ECCV2022)
  ☆26Updated 2 years ago
• phibenz / uap_virtual_data.pytorch
  ☆28Updated 4 years ago
• JHL-HUST / Admix
  ☆35Updated last year
• qizhangli / linbp-attack
  Code for our NeurIPS 2020 paper Backpropagating Linearly Improves Transferability of Adversarial Examples.
  ☆42Updated 2 years ago
• bymavis / CAS_ICLR2021
  ☆58Updated 2 years ago
• vtddggg / CAA
  The implementation of our paper: Composite Adversarial Attacks (AAAI2021)
  ☆30Updated 3 years ago
• xherdan76 / A-Unified-Approach-to-Interpreting-and-Boosting-Adversarial-Transferability
  A Unified Approach to Interpreting and Boosting Adversarial Transferability (ICLR2021)
  ☆29Updated 3 years ago
• yihuang2016 / TAIG
  ☆22Updated 2 years ago
• GATECH-EIC / Patch-Fool
  [ICLR 2022] "Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations?" by Yonggan Fu, Shunyao Zhang, Shang Wu…
  ☆33Updated 3 years ago
• aldahdooh / detectors_review
  ☆51Updated 3 years ago
• sukrutrao / Adversarial-Patch-Training
  Code for the paper: Adversarial Training Against Location-Optimized Adversarial Patches. ECCV-W 2020.
  ☆47Updated last year
• XiuchuanLi / fmixup
  TIFS2022: Decision-based Adversarial Attack with Frequency Mixup
  ☆22Updated last year
• inspire-group / PatchCleanser
  Code for "PatchCleanser: Certifiably Robust Defense against Adversarial Patches for Any Image Classifier"
  ☆42Updated 2 years ago
• ermongroup / ODS
  Code for "Diversity can be Transferred: Output Diversification for White- and Black-box Attacks"
  ☆53Updated 4 years ago
• wagner-group / reap-benchmark
  REAP: A Large-Scale Realistic Adversarial Patch Benchmark
  ☆27Updated last year
• zhipeng-wei / PNA-PatchOut
  ☆35Updated 11 months ago
• Framartin / lgv-geometric-transferability
  Source of the ECCV22 paper "LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity"
  ☆18Updated 3 months ago
• dreamflake / ODI
  [CVPR 2022] Official implementation of the Object-based Diverse Input (ODI) method
  ☆23Updated 3 years ago
• Ping-C / certifiedpatchdefense
  Repository for Certified Defenses for Adversarial Patch ICLR-2020
  ☆33Updated 4 years ago
• fra31 / sparse-imperceivable-attacks
  Sparse and Imperceivable Adversarial Attacks (accepted to ICCV 2019).
  ☆40Updated 4 years ago