Alternatives and similar repositories for adversarial-detection:

Users that are interested in adversarial-detection are comparing it to the libraries listed below

• point0bar1 / ebm-defense
  PyTorch implementation of BPDA+EOT attack to evaluate adversarial defense with an EBM
  ☆24Updated 4 years ago
• cleverhans-lab / dataset-inference
  [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning
  ☆32Updated 2 years ago
• VITA-Group / Alleviate-Robust-Overfitting
  [ICLR 2021] "Robust Overfitting may be mitigated by properly learned smoothening" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, Shiyu Chan…
  ☆46Updated 3 years ago
• fra31 / sparse-imperceivable-attacks
  Sparse and Imperceivable Adversarial Attacks (accepted to ICCV 2019).
  ☆40Updated 4 years ago
• imrahulr / hat
  Helper-based Adversarial Training: Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off
  ☆29Updated 2 years ago
• Alan-Qin / Transfer_attack_RAP
  Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation (NeurIPS 2022)
  ☆33Updated 2 years ago
• zjfheart / Geometry-aware-Instance-reweighted-Adversarial-Training
  the paper "Geometry-aware Instance-reweighted Adversarial Training" ICLR 2021 oral
  ☆59Updated 3 years ago
• xherdan76 / A-Unified-Approach-to-Interpreting-and-Boosting-Adversarial-Transferability
  A Unified Approach to Interpreting and Boosting Adversarial Transferability (ICLR2021)
  ☆29Updated 2 years ago
• fra31 / robust-finetuning
  Code relative to "Adversarial robustness against multiple and single $l_p$-threat models via quick fine-tuning of robust classifiers"
  ☆18Updated 2 years ago
• DequanWang / dent
  Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks
  ☆38Updated 3 years ago
• bymavis / CAS_ICLR2021
  ☆57Updated 2 years ago
• jiaxiaojunQAQ / FGSM-PGI
  Code for Prior-Guided Adversarial Initialization for Fast Adversarial Training (ECCV2022)
  ☆25Updated 2 years ago
• kenny-co / sgd-uap-torch
  Universal Adversarial Perturbations (UAPs) for PyTorch
  ☆47Updated 3 years ago
• tribhuvanesh / prediction-poisoning
  Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks (ICLR '20)
  ☆29Updated 4 years ago
• giladcohen / NNIF_adv_defense
  Detection of adversarial examples using influence functions and nearest neighbors
  ☆33Updated 2 years ago
• Harry24k / adversarial-defenses-pytorch
  PyTorch implementations of Adversarial defenses and utils.
  ☆34Updated last year
• ZFancy / IAD
  [ICLR 2022] Reliable Adversarial Distillation with Unreliable Teachers
  ☆21Updated 3 years ago
• zhuchen03 / ConvexPolytopePosioning
  ConvexPolytopePosioning
  ☆34Updated 5 years ago
• VITA-Group / Backdoor-LTH
  [CVPR 2022] "Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free" by Tianlong Chen*, Zhenyu Zhang*, Yihua Zhang*, Shiyu C…
  ☆26Updated 2 years ago
• AISafety-HKUST / Backdoor_Safety_Tuning
  Backdoor Safety Tuning (NeurIPS 2023 & 2024 Spotlight)
  ☆25Updated 3 months ago
• AI-secure / Robustness-Against-Backdoor-Attacks
  RAB: Provable Robustness Against Backdoor Attacks
  ☆39Updated last year
• dongyp13 / memorization-AT
  ☆21Updated 2 years ago
• fra31 / evaluating-adaptive-test-time-defenses
  ☆22Updated last year
• ChaojianYu / Understanding-Robust-Overfitting
  Implementation for <Understanding Robust Overftting of Adversarial Training and Beyond> in ICML'22.
  ☆12Updated 2 years ago
• qizhangli / linbp-attack
  Code for our NeurIPS 2020 paper Backpropagating Linearly Improves Transferability of Adversarial Examples.
  ☆42Updated 2 years ago
• whj363636 / Self-Ensemble-Adversarial-Training
  SEAT
  ☆20Updated last year
• val-iisc / Hard-Label-Model-Stealing
  ☆29Updated 2 years ago
• nblt / Sub-AT
  [CVPR 2022 oral] Subspace Adversarial Training
  ☆26Updated last year
• pralab / Fast-Minimum-Norm-FMN-Attack
  Foolbox implementation for NeurIPS 2021 Paper: "Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints".
  ☆25Updated 2 years ago
• HanxunH / MDAttack
  [Machine Learning 2023] Imbalanced Gradients: A Subtle Cause of Overestimated Adversarial Robustness
  ☆17Updated 7 months ago