leo-mazz / crowds

Related projects ⓘ

Alternatives and complementary repositories for crowds

• alan-turing-institute / tapas
  ☆32Updated last year
• spring-epfl / synthetic_data_release
  ☆39Updated last year
• qiyuangong / Mondrian
  Python Implementation for Mondrian Multidimensional K-Anonymity (Mondrian).
  ☆170Updated 11 months ago
• statice / anonymeter
  A Unified Framework for Quantifying Privacy Risk in Synthetic Data according to the GDPR
  ☆72Updated 4 months ago
• sunblaze-ucb / dpml-benchmark
  This repository contains the codes for first large-scale investigation of Differentially Private Convex Optimization algorithms.
  ☆63Updated 6 years ago
• ryan112358 / private-pgm
  An implementation of the tools described in the paper entitled "Graphical-model based estimation and inference for differential privacy"
  ☆93Updated this week
• SAP-archive / security-research-membership-inference-and-differential-privacy
  SAP Security Research sample code to reproduce the research done in our paper "Comparing local and central differential privacy using mem…
  ☆16Updated 6 months ago
• zhangzp9970 / MIA
  Unofficial pytorch implementation of paper: Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures
  ☆25Updated last year
• ektelo / ektelo
  ☆38Updated 2 years ago
• dpcomp-org / dpcomp_core
  ☆43Updated 3 years ago
• nesl / nist_differential_privacy_synthetic_data_challenge
  UCLANesl - NIST Differential Privacy Challenge (Match 3)
  ☆23Updated 5 years ago
• microsoft / privGAN
  PrivGAN: Protecting GANs from membership inference attacks at low cost
  ☆31Updated 5 months ago
• glassonion1 / anonypy
  Anonymization library for python. Protect the privacy of individuals.
  ☆25Updated 2 months ago
• ganevgv / dp-generative-models
  Differentially Private (tabular) Generative Models Papers with Code
  ☆43Updated 4 months ago
• spring-epfl / mia
  A library for running membership inference attacks against ML models
  ☆139Updated last year
• IBM / URET
  Universal Robustness Evaluation Toolkit (for Evasion)
  ☆30Updated 8 months ago
• bargavj / distributedMachineLearning
  This work combines differential privacy and multi-party computation protocol to achieve distributed machine learning.
  ☆26Updated 4 years ago
• prashmohan / GUPT
  A Privacy Preserving Data Mining Platform
  ☆46Updated 12 years ago
• csong27 / ml-model-remember
  Code for Machine Learning Models that Remember Too Much (in CCS 2017)
  ☆30Updated 7 years ago
• Nuclearstar / K-Anonymity
  Anonymization methods for network security.
  ☆149Updated 5 years ago
• AI-secure / G-PATE
  [NeurIPS 2021] "G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators" by Yunhui Long*…
  ☆30Updated 3 years ago
• BielStela / membership_inference
  Python package to create adversarial agents for membership inference attacks againts machine learning models
  ☆47Updated 5 years ago
• illidanlab / dpgan
  Source code of paper "Differentially Private Generative Adversarial Network"
  ☆67Updated 5 years ago
• samuel-yeom / ml-privacy-csf18
  Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"
  ☆38Updated 5 years ago
• fhstp / k-AnonML
  ☆18Updated last year
• inspire-group / MVG-Mechansim
  A module for the Matrix-Variate Gaussian (MVG) mechanism for differential privacy under matrix-valued query.
  ☆18Updated 4 years ago
• sommerda / privacybuckets
  A implementation of Privacy Buckets: A numerical tool to calculate privacy loss
  ☆11Updated 2 years ago
• microsoft / prv_accountant
  A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.
  ☆70Updated 9 months ago
• spliew / shuffgauss
  ☆10Updated last year
• trailofbits / PrivacyRaven
  Privacy Testing for Deep Learning
  ☆189Updated last year