Alternatives and similar repositories for ml-shuffling-amplification

Users that are interested in ml-shuffling-amplification are comparing it to the libraries listed below

• spliew / shuffgauss
  ☆10Updated last year
• awslabs / fast-differential-privacy
  Fast, memory-efficient, scalable optimization of deep learning with differential privacy
  ☆121Updated last month
• ektelo / ektelo
  ☆38Updated 3 years ago
• hharcolezi / multi-freq-ldpy
  Multiple Frequency Estimation Under Local Differential Privacy in Python
  ☆48Updated last year
• ftramer / Handcrafted-DP
  ☆80Updated 3 years ago
• wangsw / PrivacyAmplification
  Unified, Simplified, Tight and Fast Privacy Amplification in the Shuffle Model of Differential Privacy
  ☆11Updated 8 months ago
• lxuechen / private-transformers
  A codebase that makes differentially private training of transformers easy.
  ☆175Updated 2 years ago
• SSGAalto / minionn
  Privacy -preserving Neural Networks
  ☆78Updated 6 years ago
• IBM / discrete-gaussian-differential-privacy
  Code for Canonne-Kamath-Steinke paper https://arxiv.org/abs/2004.00010
  ☆60Updated 5 years ago
• zitengsun / hadamard_response
  Hadamard Response: Communication efficient, sample optimal, linear time locally private learning of distributions
  ☆14Updated 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
• Samuel-Maddock / federated-boosted-dp-trees
  Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"
  ☆46Updated last year
• differentialprivacy / differentialprivacy
  Github pages backend for https://differentialprivacy.org
  ☆26Updated last month
• OpenMined / SyMPC
  A SMPC companion library for Syft
  ☆104Updated last week
• microsoft / MICO
  Membership Inference Competition
  ☆31Updated 2 years ago
• Billy1900 / Awesome-Differential-Privacy
  Differential private machine learning
  ☆194Updated 3 years ago
• BorjaBalle / analytic-gaussian-mechanism
  Analytic calibration for differential privacy with Gaussian perturbations
  ☆48Updated 6 years ago
• Samuel-Maddock / pure-LDP
  Python package for simple implementations of state-of-the-art LDP frequency estimation algorithms. Contains code for our VLDB 2021 Paper.
  ☆74Updated last year
• 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
• sarus-tech / dp-xgboost
  ☆23Updated last year
• microsoft / dp-transformers
  Differentially-private transformers using HuggingFace and Opacus
  ☆139Updated 10 months ago
• pps-lab / rofl-project-code
  ☆32Updated 2 years ago
• uscensusbureau / DAS_2020_Redistricting_Production_Code
  Official release of source code for the Disclosure Avoidance System (DAS) used to protect against the disclosure of individual informatio…
  ☆22Updated 3 years ago
• dayu11 / Differentially-Private-Deep-Learning
  This repo implements several algorithms for learning with differential privacy.
  ☆108Updated 2 years ago
• AmanPriyanshu / DP-HyperparamTuning
  DP-HyperparamTuning offers an array of tools for fast and easy hypertuning of various hyperparameters for the DP-SGD algorithm.
  ☆23Updated 3 years ago
• facebookresearch / label_dp_antipodes
  Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"
  ☆32Updated 3 years ago
• AI-secure / DataLens
  [CCS 2021] "DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation" by Boxin Wang*, Fan Wu*, Yunhui Long…
  ☆38Updated 3 years ago
• jagielski / auditing-dpsgd
  Code for Auditing DPSGD
  ☆37Updated 3 years ago
• facebookresearch / dp_compression
  Code repo for the paper "Privacy-aware Compression for Federated Data Analysis".
  ☆19Updated 2 years ago
• DachengLi1 / MPCFormer
  (ICLR 2023 Spotlight) MPCFormer: fast, performant, and private transformer inference with MPC
  ☆97Updated 2 years ago