Alternatives and similar repositories for SpectralDef_Framework

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

• MotasemAlfarra / Combating-Adversaries-with-Anti-Adversaries
  ☆10Updated 3 years ago
• JerryMazeyu / DRA-BlackBoxAttack
  An unofficial implementation of the paper《Towards Understanding and Boosting Adversarial Transferability from a Distribution Perspective》
  ☆22Updated 2 years ago
• val-iisc / Hard-Label-Model-Stealing
  ☆30Updated 3 years ago
• machanic / SimulatorAttack
  The official implementation of CVPR 2021 paper "Simulating Unknown Target Models for Query-Efficient Black-box Attacks"
  ☆58Updated 4 years ago
• ChaojianYu / Understanding-Robust-Overfitting
  Implementation for <Understanding Robust Overftting of Adversarial Training and Beyond> in ICML'22.
  ☆12Updated 3 years ago
• Sizhe-Chen / RAD
  Relevance attack on detectors
  ☆9Updated 2 years ago
• qizhangli / MoreBayesian-attack
  Code for our ICLR 2023 paper Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples.
  ☆18Updated 2 years ago
• krishnakanthnakka / Transferable_Perturbations
  [NeurIPS2021] Code Release of Learning Transferable Perturbations
  ☆28Updated 7 months ago
• thu-ml / Prior-Guided-RGF
  ☆41Updated last year
• hcguoO0 / FIA
  code for "Feature Importance-aware Transferable Adversarial Attacks"
  ☆82Updated 3 years ago
• Alibaba-AAIG / Beyond-ImageNet-Attack
  Beyond imagenet attack (accepted by ICLR 2022) towards crafting adversarial examples for black-box domains.
  ☆60Updated 3 years ago
• DequanWang / dent
  Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks
  ☆39Updated 4 years ago
• ZhengyuZhao / Targeted-Transfer
  Simple yet effective targeted transferable attack (NeurIPS 2021)
  ☆51Updated 2 years ago
• phibenz / uap_virtual_data.pytorch
  ☆28Updated 4 years ago
• Muzammal-Naseer / CDA
  Official repository for "Cross-Domain Transferability of Adversarial Perturbations" (NeurIPS 2019)
  ☆61Updated 4 years ago
• kaidi-jin / backdoor_samples_detection
  ☆10Updated 3 years ago
• dvlab-research / LBGAT
  Learnable Boundary Guided Adversarial Training (ICCV2021)
  ☆38Updated 7 months ago
• cvlab-columbia / SelfSupDefense
  ☆30Updated 3 years ago
• fra31 / sparse-imperceivable-attacks
  Sparse and Imperceivable Adversarial Attacks (accepted to ICCV 2019).
  ☆40Updated 4 years ago
• pralab / Fast-Minimum-Norm-FMN-Attack
  Foolbox implementation for NeurIPS 2021 Paper: "Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints".
  ☆25Updated 3 years ago
• bymavis / CAS_ICLR2021
  ☆58Updated 2 years ago
• TLMichael / Delusive-Adversary
  [NeurIPS 2021] Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training
  ☆31Updated 3 years ago
• Ping-C / certifiedpatchdefense
  Repository for Certified Defenses for Adversarial Patch ICLR-2020
  ☆33Updated 4 years ago
• jiaxiaojunQAQ / FGSM-SDI
  Code for Boosting fast adversarial training with learnable adversarial initialization (TIP2022)
  ☆29Updated last year
• Muzammal-Naseer / TTP
  Official repository for "On Generating Transferable Targeted Perturbations" (ICCV 2021)
  ☆61Updated 2 years ago
• UMBCvision / SSL-Backdoor
  Official implementation of the CVPR 2022 paper "Backdoor Attacks on Self-Supervised Learning".
  ☆74Updated last year
• YisenWang / MART
  Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"
  ☆150Updated 4 years ago
• jiaxiaojunQAQ / LAS-AT
  Code for LAS-AT: Adversarial Training with Learnable Attack Strategy (CVPR2022)
  ☆117Updated 3 years ago
• imrahulr / hat
  Helper-based Adversarial Training: Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off
  ☆33Updated 3 years ago
• Harry24k / adversarial-defenses-pytorch
  PyTorch implementations of Adversarial defenses and utils.
  ☆34Updated last year