Alternatives and similar repositories for relaxed-adaptive-projection

Users that are interested in relaxed-adaptive-projection are comparing it to the libraries listed below

• IBM / discrete-gaussian-differential-privacy
  Code for Canonne-Kamath-Steinke paper https://arxiv.org/abs/2004.00010
  ☆60Updated 4 years ago
• microsoft / prv_accountant
  A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.
  ☆73Updated last year
• DPBayes / PLD-Accountant
  Code for computing tight guarantees for differential privacy
  ☆23Updated 2 years ago
• cmla-psu / statdp
  Statistical Counterexample Detector for Differential Privacy
  ☆28Updated last year
• ftramer / Handcrafted-DP
  ☆80Updated 3 years ago
• amzn / differential-privacy-bayesian-optimization
  This repo contains the underlying code for all the experiments from the paper: "Automatic Discovery of Privacy-Utility Pareto Fronts"
  ☆27Updated 2 years ago
• google-deepmind / jax_privacy
  Algorithms for Privacy-Preserving Machine Learning in JAX
  ☆94Updated last month
• ryan112358 / private-pgm
  An implementation of the tools described in the paper entitled "Graphical-model based estimation and inference for differential privacy"
  ☆103Updated 2 weeks ago
• BorjaBalle / analytic-gaussian-mechanism
  Analytic calibration for differential privacy with Gaussian perturbations
  ☆48Updated 6 years ago
• yuxiangw / autodp
  autodp: A flexible and easy-to-use package for differential privacy
  ☆274Updated last year
• differentialprivacy / differentialprivacy
  Github pages backend for https://differentialprivacy.org
  ☆26Updated last month
• jagielski / auditing-dpsgd
  Code for Auditing DPSGD
  ☆37Updated 3 years ago
• awslabs / fast-differential-privacy
  Fast, memory-efficient, scalable optimization of deep learning with differential privacy
  ☆120Updated 2 weeks 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
• columbia / pixeldp
  ☆66Updated 5 years ago
• cleverhans-lab / capc-iclr
  CaPC is a method that enables collaborating parties to improve their own local heterogeneous machine learning models in a setting where b…
  ☆26Updated 3 years ago
• opendp / smartnoise-sdk
  Tools and service for differentially private processing of tabular and relational data
  ☆267Updated 4 months ago
• lxuechen / private-transformers
  A codebase that makes differentially private training of transformers easy.
  ☆174Updated 2 years ago
• dpcomp-org / dpcomp_core
  ☆43Updated 3 years ago
• eth-sri / dp-sniper
  A machine-learning-based tool for discovering differential privacy violations in black-box algorithms.
  ☆25Updated 3 years ago
• spring-epfl / synthetic_data_release
  ☆39Updated 2 years ago
• jxbz / signSGD
  Code for the signSGD paper
  ☆86Updated 4 years ago
• bargavj / EvaluatingDPML
  This project's goal is to evaluate the privacy leakage of differentially private machine learning models.
  ☆135Updated 2 years ago
• wuwuz / sparse-vector-aggregation
  ☆9Updated 3 years ago
• google-research / label-dp
  ☆17Updated last year
• mc2-project / federated-xgboost
  Federated gradient boosted decision tree learning
  ☆68Updated 2 years ago
• spring-epfl / mia
  A library for running membership inference attacks against ML models
  ☆147Updated 2 years ago
• jmikko / fair_ERM
  Fair Empirical Risk Minimization (FERM)
  ☆37Updated 4 years ago
• ganevgv / dp-generative-models
  Differentially Private (tabular) Generative Models Papers with Code
  ☆49Updated 11 months ago
• facebookresearch / Opacus-lab
  Research and experimental code related to Opacus, an open-source library for training PyTorch models with Differential Privacy
  ☆18Updated 7 months ago