Alternatives and similar repositories for datasets

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

• jinyuan-jia / MemGuard
  ☆45Updated 5 years ago
• shrezaei / MI-Attack
  ☆32Updated last year
• jagielski / auditing-dpsgd
  Code for Auditing DPSGD
  ☆37Updated 3 years ago
• cchoquette / membership-inference
  Code for the paper: Label-Only Membership Inference Attacks
  ☆66Updated 4 years ago
• inspire-group / membership-inference-evaluation
  Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models
  ☆127Updated last year
• AhmedSalem2 / ML-Leaks
  Code for the paper "ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models"
  ☆85Updated 3 years ago
• AdrienBenamira / membership_inference_attack
  Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.
  ☆58Updated 6 years ago
• hyhmia / BlindMI
  ☆22Updated 3 years ago
• spring-epfl / mia
  A library for running membership inference attacks against ML models
  ☆150Updated 2 years ago
• facebookresearch / label_dp_antipodes
  Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"
  ☆32Updated 3 years ago
• liuyugeng / ML-Doctor
  Code for ML Doctor
  ☆91Updated last year
• ftramer / Handcrafted-DP
  ☆80Updated 3 years ago
• MinChen00 / UnlearningLeaks
  Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)
  ☆49Updated 3 years ago
• AI-secure / GMI-Attack
  ☆32Updated 4 years ago
• SPIN-UMass / MembershipWhiteboxAttacks
  ☆16Updated 6 years ago
• lhfowl / robbing_the_fed
  ☆26Updated 3 years ago
• bargavj / EvaluatingDPML
  This project's goal is to evaluate the privacy leakage of differentially private machine learning models.
  ☆135Updated 2 years ago
• ganeshdg95 / Leveraging-Adversarial-Examples-to-Quantify-Membership-Information-Leakage
  ☆19Updated 2 years ago
• alewarne / MachineUnlearning
  Code related to the paper "Machine Unlearning of Features and Labels"
  ☆71Updated last year
• zhenglisec / Label-Only-MIA
  ☆19Updated last year
• csong27 / membership-inference
  Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)
  ☆199Updated 7 years ago
• shrebox / Privacy-Attacks-in-Machine-Learning
  Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.
  ☆64Updated last year
• facebookresearch / whitebox_blackbox
  Public implementation of ICML'19 paper "White-box vs Black-box: Bayes Optimal Strategies for Membership Inference"
  ☆17Updated 5 years ago
• ksreenivasan / OOD_Federated_Learning
  ☆70Updated 3 years ago
• HongshengHu / membership-inference-machine-learning-literature
  ☆357Updated 3 months ago
• dayu11 / Differentially-Private-Deep-Learning
  This repo implements several algorithms for learning with differential privacy.
  ☆109Updated 2 years ago
• inspire-group / privacy-vs-robustness
  Privacy Risks of Securing Machine Learning Models against Adversarial Examples
  ☆45Updated 5 years ago
• csong27 / property-inference-collaborative-ml
  Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)
  ☆54Updated 6 years ago
• bboylyg / ABL
  Anti-Backdoor learning (NeurIPS 2021)
  ☆84Updated 2 years ago
• csong27 / auditing-text-generation
  Code for Auditing Data Provenance in Text-Generation Models (in KDD 2019)
  ☆10Updated 6 years ago