Alternatives and similar repositories for knockoffnets

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

• bboylyg / NAD
  This is an implementation demo of the ICLR 2021 paper [Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks…
  ☆127Updated 3 years ago
• Jianbo-Lab / HSJA
  ☆88Updated 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
  ☆75Updated last year
• wronnyhuang / metapoison
  Craft poisoned data using MetaPoison
  ☆54Updated 4 years ago
• aks2203 / poisoning-benchmark
  A unified benchmark problem for data poisoning attacks
  ☆161Updated 2 years ago
• JonasGeiping / poisoning-gradient-matching
  Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching
  ☆111Updated last year
• 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
• zhuchen03 / ConvexPolytopePosioning
  ConvexPolytopePosioning
  ☆37Updated 6 years ago
• sanjaykariyappa / MAZE
  Implementation of the paper "MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation".
  ☆31Updated 4 years ago
• hsouri / Sleeper-Agent
  ☆69Updated last year
• cleverhans-lab / entangled-watermark
  ☆49Updated 4 years 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
  ☆74Updated 7 years ago
• VinAIResearch / input-aware-backdoor-attack-release
  Input-aware Dynamic Backdoor Attack (NeurIPS 2020)
  ☆36Updated last year
• naiyeleo / ABS
  ABS: Scanning Neural Networks for Back-doors by Artificial Brain Stimulation
  ☆51Updated 3 years ago
• Kooscii / BadNets
  ☆100Updated 5 years ago
• YiZeng623 / I-BAU
  Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''
  ☆53Updated 3 years ago
• MadryLab / backdoor_data_poisoning
  ☆26Updated 6 years ago
• liuyugeng / ML-Doctor
  Code for ML Doctor
  ☆92Updated last year
• yunyuntsai / DNN-Model-Stealing
  Code for "CloudLeak: Large-Scale Deep Learning Models Stealing Through Adversarial Examples" (NDSS 2020)
  ☆22Updated 5 years ago
• zjfheart / Friendly-Adversarial-Training
  Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)
  ☆126Updated 2 years ago
• kangliucn / Fine-pruning-defense
  Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks (RAID 2018)
  ☆47Updated 7 years ago
• cchoquette / membership-inference
  Code for the paper: Label-Only Membership Inference Attacks
  ☆67Updated 4 years ago
• AI-secure / Robustness-Against-Backdoor-Attacks
  RAB: Provable Robustness Against Backdoor Attacks
  ☆39Updated 2 years ago
• val-iisc / Hard-Label-Model-Stealing
  ☆34Updated 3 years ago
• trx14 / TrojanNet
  ☆87Updated 2 years ago
• AI-secure / Meta-Nerual-Trojan-Detection
  ☆68Updated 5 years ago
• aldahdooh / detectors_review
  ☆53Updated 4 years ago
• ermongroup / ODS
  Code for "Diversity can be Transferred: Output Diversification for White- and Black-box Attacks"
  ☆53Updated 5 years ago
• tribhuvanesh / prediction-poisoning
  Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks (ICLR '20)
  ☆33Updated 5 years ago