Alternatives and similar repositories for poisoning-gradient-matching

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

• hsouri / Sleeper-Agent
  ☆65Updated last year
• ashafahi / inceptionv3-transferLearn-poison
  Attacking a dog vs fish classification that uses transfer learning inceptionV3
  ☆70Updated 7 years ago
• aks2203 / poisoning-benchmark
  A unified benchmark problem for data poisoning attacks
  ☆156Updated last year
• wronnyhuang / metapoison
  Craft poisoned data using MetaPoison
  ☆51Updated 4 years ago
• YiZeng623 / I-BAU
  Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''
  ☆53Updated 2 years ago
• sanjaykariyappa / MAZE
  Implementation of the paper "MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation".
  ☆30Updated 3 years 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
• MadryLab / backdoor_data_poisoning
  ☆25Updated 6 years ago
• bboylyg / ABL
  Anti-Backdoor learning (NeurIPS 2021)
  ☆81Updated last year
• tribhuvanesh / prediction-poisoning
  Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks (ICLR '20)
  ☆32Updated 4 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
• cchoquette / membership-inference
  Code for the paper: Label-Only Membership Inference Attacks
  ☆65Updated 3 years ago
• wielandbrendel / adaptive_attacks_paper
  Code for "On Adaptive Attacks to Adversarial Example Defenses"
  ☆87Updated 4 years ago
• MadryLab / label-consistent-backdoor-code
  Code for "Label-Consistent Backdoor Attacks"
  ☆57Updated 4 years ago
• kenny-co / sgd-uap-torch
  Universal Adversarial Perturbations (UAPs) for PyTorch
  ☆48Updated 3 years ago
• naiyeleo / ABS
  ABS: Scanning Neural Networks for Back-doors by Artificial Brain Stimulation
  ☆52Updated 3 years ago
• lhfowl / robbing_the_fed
  ☆25Updated 3 years ago
• DingfanChen / RelaxLoss
  Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)
  ☆50Updated 2 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
• lhfowl / adversarial_poisons
  ☆51Updated 3 years ago
• cleverhans-lab / dataset-inference
  [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning
  ☆32Updated 2 years ago
• shrezaei / MI-Attack
  ☆31Updated 9 months ago
• yunyuntsai / DNN-Model-Stealing
  Code for "CloudLeak: Large-Scale Deep Learning Models Stealing Through Adversarial Examples" (NDSS 2020)
  ☆20Updated 4 years ago
• Jianbo-Lab / HSJA
  ☆85Updated 4 years ago
• Ping-C / certifiedpatchdefense
  Repository for Certified Defenses for Adversarial Patch ICLR-2020
  ☆33Updated 4 years ago
• AI-secure / Meta-Nerual-Trojan-Detection
  ☆66Updated 4 years ago
• VinAIResearch / Warping-based_Backdoor_Attack-release
  WaNet - Imperceptible Warping-based Backdoor Attack (ICLR 2021)
  ☆123Updated 7 months ago
• sam-yeom / ml-privacy-csf18
  Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"
  ☆37Updated 6 years ago
• hyhmia / BlindMI
  ☆23Updated 2 years ago
• zhuchen03 / ConvexPolytopePosioning
  ConvexPolytopePosioning
  ☆35Updated 5 years ago