Alternatives and similar repositories for Poisoning-Attacks-with-Back-gradient-Optimization

Users that are interested in Poisoning-Attacks-with-Back-gradient-Optimization are comparing it to the libraries listed below

• 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
• cleverhans-lab / entangled-watermark
  ☆48Updated 4 years ago
• AI-secure / Robustness-Against-Backdoor-Attacks
  RAB: Provable Robustness Against Backdoor Attacks
  ☆39Updated last year
• SPIN-UMass / ML-Privacy-Regulization
  ☆26Updated 6 years ago
• ganeshdg95 / Leveraging-Adversarial-Examples-to-Quantify-Membership-Information-Leakage
  ☆19Updated 2 years ago
• wronnyhuang / metapoison
  Craft poisoned data using MetaPoison
  ☆52Updated 4 years ago
• inspire-group / privacy-vs-robustness
  Privacy Risks of Securing Machine Learning Models against Adversarial Examples
  ☆44Updated 5 years ago
• cchoquette / membership-inference
  Code for the paper: Label-Only Membership Inference Attacks
  ☆65Updated 3 years ago
• shrezaei / MI-Attack
  ☆32Updated 10 months ago
• nthu-datalab / On.the.Trade-off.between.Adversarial.and.Backdoor.Robustness
  Code for "On the Trade-off between Adversarial and Backdoor Robustness" (NIPS 2020)
  ☆17Updated 4 years ago
• liuyugeng / ML-Doctor
  Code for ML Doctor
  ☆91Updated 11 months ago
• jinyuan-jia / MemGuard
  ☆45Updated 5 years ago
• cleverhans-lab / dataset-inference
  [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning
  ☆32Updated 2 years ago
• fmy266 / Pytorch-Backdoor-Unlearning
  Pytorch implementation of backdoor unlearning.
  ☆20Updated 3 years ago
• Machine-Learning-Security-Lab / mia_prune
  Membership Inference Attacks and Defenses in Neural Network Pruning
  ☆28Updated 3 years ago
• DingfanChen / RelaxLoss
  Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)
  ☆50Updated 2 years ago
• Rand2AI / GRNN
  Official implementation of "GRNN: Generative Regression Neural Network - A Data Leakage Attack for Federated Learning"
  ☆33Updated 3 years ago
• MinChen00 / UnlearningLeaks
  Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)
  ☆48Updated 3 years ago
• neeharperi / DeepKNNDefense
  KNN Defense Against Clean Label Poisoning Attacks
  ☆12Updated 3 years 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
• AdrienBenamira / membership_inference_attack
  Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.
  ☆60Updated 6 years ago
• TemporaryAcc0unt / composite-attack
  ☆21Updated 4 years ago
• kangliucn / Fine-pruning-defense
  Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks (RAID 2018)
  ☆47Updated 6 years ago
• cleverhans-lab / unrolling-sgd
  code release for "Unrolling SGD: Understanding Factors Influencing Machine Unlearning" published at EuroS&P'22
  ☆22Updated 3 years ago
• inspire-group / membership-inference-evaluation
  Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models
  ☆127Updated last year
• ashafahi / inceptionv3-transferLearn-poison
  Attacking a dog vs fish classification that uses transfer learning inceptionV3
  ☆70Updated 7 years ago
• ssg-research / dawn-dynamic-adversarial-watermarking-of-neural-networks
  Watermarking against model extraction attacks in MLaaS. ACM MM 2021.
  ☆33Updated 4 years ago
• inspire-group / unlearning-verification
  verifying machine unlearning by backdooring
  ☆20Updated 2 years ago
• ksreenivasan / OOD_Federated_Learning
  ☆70Updated 3 years ago
• tribhuvanesh / prediction-poisoning
  Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks (ICLR '20)
  ☆31Updated 4 years ago