Alternatives and similar repositories for detectors_review

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

• Jianbo-Lab / ML-LOO
  ☆15Updated 5 years ago
• ZhengyuZhao / Targeted-Transfer
  Simple yet effective targeted transferable attack (NeurIPS 2021)
  ☆51Updated 2 years ago
• kenny-co / sgd-uap-torch
  Universal Adversarial Perturbations (UAPs) for PyTorch
  ☆48Updated 3 years ago
• liuye6666 / adaptive_auto_attack
  Adversarial Robustness, White-box, Adversarial Attack
  ☆50Updated 2 years ago
• jpzhang1810 / NAA
  Official Tensorflow implementation for "Improving Adversarial Transferability via Neuron Attribution-based Attacks" (CVPR 2022)
  ☆34Updated 2 years ago
• JinyuTian / SID
  The code of our AAAI 2021 paper "Detecting Adversarial Examples from Sensitivity Inconsistency of Spatial-transform Domain"
  ☆16Updated 4 years ago
• bymavis / CAS_ICLR2021
  ☆58Updated 2 years ago
• JHL-HUST / SVRE
  Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability
  ☆24Updated 2 years ago
• hcguoO0 / FIA
  code for "Feature Importance-aware Transferable Adversarial Attacks"
  ☆82Updated 2 years ago
• FlouriteJ / PoisonFrogs
  Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks
  ☆17Updated 6 years ago
• sanjaykariyappa / MAZE
  Implementation of the paper "MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation".
  ☆30Updated 3 years ago
• sunbelbd / invisible_backdoor_attacks
  ☆19Updated 3 years ago
• hkunzhe / label_consistent_attacks_pytorch
  A minimal PyTorch implementation of Label-Consistent Backdoor Attacks
  ☆30Updated 4 years ago
• jinyuan-jia / BadEncoder
  ☆82Updated 3 years ago
• khoadoan106 / backdoor_attacks
  ☆25Updated 2 years ago
• ermongroup / ODS
  Code for "Diversity can be Transferred: Output Diversification for White- and Black-box Attacks"
  ☆53Updated 4 years ago
• yihuang2016 / TAIG
  ☆22Updated 2 years ago
• tribhuvanesh / prediction-poisoning
  Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks (ICLR '20)
  ☆31Updated 4 years ago
• AdelaideAuto-IDLab / Februus
  Input Purification Defense Against Trojan Attacks on Deep Neural Network Systems
  ☆27Updated 4 years ago
• TiJoy / Towards-Transferable-Targeted-Attack
  Codes for CVPR2020 paper "Towards Transferable Targeted Attack".
  ☆15Updated 3 years ago
• ashafahi / inceptionv3-transferLearn-poison
  Attacking a dog vs fish classification that uses transfer learning inceptionV3
  ☆70Updated 7 years ago
• inspire-group / PatchCleanser
  Code for "PatchCleanser: Certifiably Robust Defense against Adversarial Patches for Any Image Classifier"
  ☆41Updated 2 years ago
• cake-lab / datafree-model-extraction
  CVPR 2021 Official repository for the Data-Free Model Extraction paper. https://arxiv.org/abs/2011.14779
  ☆72Updated last year
• ZhengyuZhao / TransferAttackEval
  Revisiting Transferable Adversarial Images (arXiv)
  ☆123Updated 2 months ago
• TemporaryAcc0unt / composite-attack
  ☆21Updated 4 years ago
• Jianbo-Lab / HSJA
  ☆85Updated 4 years ago
• YiZeng623 / I-BAU
  Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''
  ☆53Updated 2 years ago
• thu-ml / Prior-Guided-RGF
  ☆41Updated last year
• CGCL-codes / TransferAttackSurrogates
  The official code of IEEE S&P 2024 paper "Why Does Little Robustness Help? A Further Step Towards Understanding Adversarial Transferabili…
  ☆19Updated 9 months ago
• SCLBD / Transfer_attack_RAP
  ☆35Updated 2 years ago