Alternatives and similar repositories for poisoning-benchmark:

Users that are interested in poisoning-benchmark are comparing it to the libraries listed below

• JonasGeiping / poisoning-gradient-matching
  Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching
  ☆101Updated 7 months ago
• wielandbrendel / adaptive_attacks_paper
  Code for "On Adaptive Attacks to Adversarial Example Defenses"
  ☆87Updated 4 years ago
• ashafahi / inceptionv3-transferLearn-poison
  Attacking a dog vs fish classification that uses transfer learning inceptionV3
  ☆70Updated 7 years ago
• bboylyg / NAD
  This is an implementation demo of the ICLR 2021 paper [Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks…
  ☆122Updated 3 years ago
• UMBCvision / Hidden-Trigger-Backdoor-Attacks
  Official Repository for the AAAI-20 paper "Hidden Trigger Backdoor Attacks"
  ☆125Updated last year
• hsouri / Sleeper-Agent
  ☆64Updated last year
• tribhuvanesh / prediction-poisoning
  Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks (ICLR '20)
  ☆30Updated 4 years ago
• Jianbo-Lab / HSJA
  ☆85Updated 4 years ago
• zhuchen03 / ConvexPolytopePosioning
  ConvexPolytopePosioning
  ☆35Updated 5 years ago
• VinAIResearch / input-aware-backdoor-attack-release
  Input-aware Dynamic Backdoor Attack (NeurIPS 2020)
  ☆36Updated 8 months ago
• cake-lab / datafree-model-extraction
  CVPR 2021 Official repository for the Data-Free Model Extraction paper. https://arxiv.org/abs/2011.14779
  ☆71Updated last year
• VinAIResearch / Warping-based_Backdoor_Attack-release
  WaNet - Imperceptible Warping-based Backdoor Attack (ICLR 2021)
  ☆121Updated 5 months ago
• YisenWang / MART
  Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"
  ☆146Updated 4 years ago
• MadryLab / label-consistent-backdoor-code
  Code for "Label-Consistent Backdoor Attacks"
  ☆55Updated 4 years ago
• usnistgov / trojai-literature
  ☆144Updated 6 months ago
• Kooscii / BadNets
  ☆94Updated 4 years ago
• naiyeleo / ABS
  ABS: Scanning Neural Networks for Back-doors by Artificial Brain Stimulation
  ☆50Updated 2 years ago
• bboylyg / ABL
  Anti-Backdoor learning (NeurIPS 2021)
  ☆81Updated last year
• HanxunH / Unlearnable-Examples
  [ICLR2021] Unlearnable Examples: Making Personal Data Unexploitable
  ☆163Updated 9 months ago
• lhfowl / adversarial_poisons
  ☆49Updated 3 years ago
• DreamtaleCore / Refool
  ☆48Updated 7 months ago
• ndb796 / Pytorch-Adversarial-Training-CIFAR
  This repository provides simple PyTorch implementations for adversarial training methods on CIFAR-10.
  ☆164Updated 4 years ago
• kangliucn / Fine-pruning-defense
  Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks (RAID 2018)
  ☆48Updated 6 years ago
• YiZeng623 / I-BAU
  Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''
  ☆53Updated 2 years ago
• garrisongys / STRIP
  This is for releasing the source code of the ACSAC paper "STRIP: A Defence Against Trojan Attacks on Deep Neural Networks"
  ☆55Updated 5 months ago
• superrrpotato / Defending-Neural-Backdoors-via-Generative-Distribution-Modeling
  The code is for our NeurIPS 2019 paper: https://arxiv.org/abs/1910.04749
  ☆34Updated 5 years ago
• shrezaei / MI-Attack
  ☆31Updated 7 months ago
• kenny-co / sgd-uap-torch
  Universal Adversarial Perturbations (UAPs) for PyTorch
  ☆48Updated 3 years ago
• ermongroup / ODS
  Code for "Diversity can be Transferred: Output Diversification for White- and Black-box Attacks"
  ☆53Updated 4 years ago
• haizhongzheng / ATTA
  ATTA (Efficient Adversarial Training with Transferable Adversarial Examples)
  ☆36Updated 4 years ago