Alternatives and similar repositories for Differential-Privacy-Synthetic-Data-Challenge-assets:

Users that are interested in Differential-Privacy-Synthetic-Data-Challenge-assets are comparing it to the libraries listed below

• dp-cont / dp-cont
  ☆14Updated 2 months ago
• IBM / discrete-gaussian-differential-privacy
  Code for Canonne-Kamath-Steinke paper https://arxiv.org/abs/2004.00010
  ☆62Updated 4 years ago
• BorjaBalle / amplification-by-shuffling
  Implementation of calibration bounds for differential privacy in the shuffle model
  ☆22Updated 4 years ago
• BorjaBalle / analytic-gaussian-mechanism
  Analytic calibration for differential privacy with Gaussian perturbations
  ☆47Updated 6 years ago
• caicre / PrivMRF
  An implementation of "Data Synthesis via Differentially Private Markov Random Fields"
  ☆13Updated last year
• columbia / pixeldp
  ☆64Updated 5 years ago
• pps-lab / fl-analysis
  ☆28Updated 2 years ago
• bargavj / distributedMachineLearning
  This work combines differential privacy and multi-party computation protocol to achieve distributed machine learning.
  ☆26Updated 4 years ago
• haiphanNJIT / SecureSGD
  Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness (IJCAI'19).
  ☆13Updated 4 years ago
• dpcomp-org / dpcomp_core
  ☆43Updated 3 years ago
• microsoft / prv_accountant
  A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.
  ☆73Updated last year
• anusii / graph-dp
  Implementations of differentially private release mechanisms for graph statistics
  ☆23Updated 2 years ago
• pps-lab / rofl-project-code
  ☆32Updated last year
• bargavj / EvaluatingDPML
  This project's goal is to evaluate the privacy leakage of differentially private machine learning models.
  ☆131Updated 2 years ago
• TRUST-TUDa / SAFELearn
  Secure Aggregation for FL
  ☆34Updated last year
• ektelo / ektelo
  ☆38Updated 2 years ago
• csong27 / property-inference-collaborative-ml
  Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)
  ☆53Updated 5 years ago
• eniac / flamingo
  A secure aggregation system for private federated learning
  ☆39Updated 11 months ago
• mofanv / PPFL
  Privacy-preserving Federated Learning with Trusted Execution Environments
  ☆67Updated 2 years ago
• pasquini-dario / EludingSecureAggregation
  Eluding Secure Aggregation in Federated Learning via Model Inconsistency
  ☆12Updated 2 years ago
• corentingiraud / federated-learning-secure-aggregation
  A simple Python implementation of a secure aggregation protocole for federated learning.
  ☆35Updated last year
• eth-sri / dp-finder
  Differential Privacy Testing System
  ☆22Updated 5 years ago
• eth-sri / dp-sniper
  A machine-learning-based tool for discovering differential privacy violations in black-box algorithms.
  ☆25Updated 2 years ago
• lainisourgod / hybrid-approach-to-ppfl
  This is an implementation for paper "A Hybrid Approach to Privacy Preserving Federated Learning" (https://arxiv.org/pdf/1812.03224.pdf)
  ☆21Updated 4 years ago
• DistributedML / FoolsGold
  A sybil-resilient distributed learning protocol.
  ☆103Updated last year
• wangsw / PrivacyAmplification
  Unified, Simplified, Tight and Fast Privacy Amplification in the Shuffle Model of Differential Privacy
  ☆11Updated 6 months 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
• 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
• facebookresearch / label_dp_antipodes
  Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"
  ☆31Updated 3 years ago