Alternatives and similar repositories for ppml-tutorial

Users that are interested in ppml-tutorial are comparing it to the libraries listed below

• leriomaggio / privacy-preserving-data-science
  Course Material for the Tutorial on Privacy Enhancing Technologies and PPML
  ☆13Updated 3 years ago
• awslabs / privacy-preserving-xgboost-inference
  Privacy-preserving XGBoost Inference
  ☆49Updated 2 years ago
• nogrady / PPML
  Privacy Preserving Machine Learning (Manning Early Access Program)
  ☆33Updated 2 years ago
• IFCA-Advanced-Computing / pycanon
  pyCANON is a Python library and CLI to assess the values of the parameters associated with the most common privacy-preserving techniques.
  ☆38Updated last week
• jnear / cs211-data-privacy
  ☆44Updated 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"
  ☆103Updated last month
• sarus-tech / dp-xgboost
  ☆23Updated last year
• spring-epfl / synthetic_data_release
  ☆39Updated 2 years ago
• alan-turing-institute / tapas
  ☆36Updated last year
• BorealisAI / private-data-generation
  A toolbox for differentially private data generation
  ☆132Updated last year
• IFCA-Advanced-Computing / anjana
  ANJANA is a Python library for anonymizing sensitive data
  ☆32Updated last week
• opendp / smartnoise-sdk
  Tools and service for differentially private processing of tabular and relational data
  ☆269Updated 5 months ago
• tayebiarasteh / federated_he
  Federated learning with homomorphic encryption enables multiple parties to securely co-train artificial intelligence models in pathology …
  ☆32Updated last year
• stefanrmmr / differentially_private_synthetic_data
  Differentially Private Synthetic Data Generation [DP-SDG] - Experimental Setups & Knowledge Base - WORK IN PROGRESS
  ☆12Updated 2 years ago
• DPBayes / twinify
  A software package for privacy-preserving generation of a synthetic twin to a given sensitive data set.
  ☆53Updated 9 months ago
• vaikkunth / PrivacyFL
  A Simulator for Privacy Preserving Federated Learning
  ☆94Updated 4 years ago
• hharcolezi / multi-freq-ldpy
  Multiple Frequency Estimation Under Local Differential Privacy in Python
  ☆48Updated last year
• opendp / opendp
  The core library of differential privacy algorithms powering the OpenDP Project.
  ☆367Updated this week
• opendp / smartnoise-core-python
  Python language bindings for smartnoise-core.
  ☆76Updated 2 years ago
• kjam / practical-data-privacy
  Practical Data Privacy
  ☆95Updated 10 months ago
• JiangChSo / PFLM
  Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradi…
  ☆30Updated 4 years ago
• usnistgov / SDNist
  SDNist: Benchmark data and evaluation tools for data synthesizers.
  ☆36Updated 2 weeks ago
• hharcolezi / ldp-protocols-mobility-cdrs
  Implementation of local differential privacy mechanisms in Python language.
  ☆29Updated 2 years ago
• OpenMined / SyMPC
  A SMPC companion library for Syft
  ☆104Updated this week
• google-deepmind / jax_privacy
  Algorithms for Privacy-Preserving Machine Learning in JAX
  ☆94Updated 2 months 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
• opendp / smartnoise-samples
  Code samples and documentation for SmartNoise differential privacy tools
  ☆133Updated 3 years ago
• awslabs / fast-differential-privacy
  Fast, memory-efficient, scalable optimization of deep learning with differential privacy
  ☆121Updated last month
• mc2-project / secure-xgboost
  Secure collaborative training and inference for XGBoost.
  ☆105Updated 2 years ago
• OpenMined / PipelineDP
  PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch processing systems such a…
  ☆277Updated 3 weeks ago