Alternatives and similar repositories for ai-privacy-toolkit:

Users that are interested in ai-privacy-toolkit are comparing it to the libraries listed below

• microsoft / dp-transformers
  Differentially-private transformers using HuggingFace and Opacus
  ☆136Updated 8 months ago
• spring-epfl / mia
  A library for running membership inference attacks against ML models
  ☆144Updated 2 years ago
• microsoft / msrflute
  Federated Learning Utilities and Tools for Experimentation
  ☆189Updated last year
• privacytrustlab / ml_privacy_meter
  Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.
  ☆647Updated last week
• statice / anonymeter
  A Unified Framework for Quantifying Privacy Risk in Synthetic Data according to the GDPR
  ☆87Updated 2 months ago
• sunblaze-ucb / dpml-benchmark
  This repository contains the codes for first large-scale investigation of Differentially Private Convex Optimization algorithms.
  ☆64Updated 6 years ago
• opendp / smartnoise-sdk
  Tools and service for differentially private processing of tabular and relational data
  ☆265Updated 3 months ago
• opendp / smartnoise-core-python
  Python language bindings for smartnoise-core.
  ☆76Updated 2 years ago
• nesl / nist_differential_privacy_synthetic_data_challenge
  UCLANesl - NIST Differential Privacy Challenge (Match 3)
  ☆24Updated 5 years ago
• leriomaggio / privacy-preserving-data-science
  Course Material for the Tutorial on Privacy Enhancing Technologies and PPML
  ☆13Updated 3 years ago
• bargavj / EvaluatingDPML
  This project's goal is to evaluate the privacy leakage of differentially private machine learning models.
  ☆134Updated 2 years ago
• DPBayes / twinify
  A software package for privacy-preserving generation of a synthetic twin to a given sensitive data set.
  ☆52Updated 8 months ago
• awslabs / privacy-preserving-xgboost-inference
  Privacy-preserving XGBoost Inference
  ☆49Updated 2 years ago
• ryan112358 / private-pgm
  An implementation of the tools described in the paper entitled "Graphical-model based estimation and inference for differential privacy"
  ☆102Updated this week
• usnistgov / SDNist
  SDNist: Benchmark data and evaluation tools for data synthesizers.
  ☆35Updated 3 weeks ago
• trailofbits / PrivacyRaven
  Privacy Testing for Deep Learning
  ☆204Updated last year
• lxuechen / private-transformers
  A codebase that makes differentially private training of transformers easy.
  ☆170Updated 2 years ago
• dpcomp-org / dpcomp_core
  ☆43Updated 3 years ago
• BorealisAI / private-data-generation
  A toolbox for differentially private data generation
  ☆131Updated last year
• microsoft / MICO
  Membership Inference Competition
  ☆31Updated last year
• microsoft / prv_accountant
  A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.
  ☆73Updated last year
• opendp / opendp
  The core library of differential privacy algorithms powering the OpenDP Project.
  ☆354Updated this week
• spring-epfl / synthetic_data_release
  ☆39Updated 2 years ago
• microsoft / analysing_pii_leakage
  The repository contains the code for analysing the leakage of personally identifiable (PII) information from the output of next word pred…
  ☆93Updated 8 months ago
• IBM / differential-privacy-library
  Diffprivlib: The IBM Differential Privacy Library
  ☆862Updated this week
• hharcolezi / multi-freq-ldpy
  Multiple Frequency Estimation Under Local Differential Privacy in Python
  ☆47Updated last year
• OpenMined / PyDP
  The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy
  ☆515Updated 7 months ago
• awslabs / fast-differential-privacy
  Fast, memory-efficient, scalable optimization of deep learning with differential privacy
  ☆120Updated 4 months ago
• vaikkunth / PrivacyFL
  A Simulator for Privacy Preserving Federated Learning
  ☆94Updated 4 years ago
• alan-turing-institute / tapas
  ☆36Updated last year