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    32 repositories

    • jax-chacha-prng

      Public
      A cryptographically-secure pseudo-random number generator for JAX based on the 20 round ChaCha cipher.
      Python
      •0•14•3•0•Updated Jul 3, 2026Jul 3, 2026

    • dpdl

      Public
      Easy Experimentation for Differentially Private Deep Learning
      Python
      •1•0•6•3•Updated Jun 18, 2026Jun 18, 2026

    • limitations_of_add_remove_adjacency_in_dp

      Public
      This repository contains the official code for the paper "Beyond Membership: Limitations of Add/Remove Adjacency in Differential Privacy"
      Python
      •
      Apache License 2.0
      •0•0•0•0•Updated May 22, 2026May 22, 2026

    • opacus

      Public
      Training PyTorch models with differential privacy
      Jupyter Notebook
      •
      Apache License 2.0
      •397•0•0•1•Updated Feb 11, 2026Feb 11, 2026

    • position-fidelity-diversity-metrics-flawed

      Public
      Jupyter Notebook
      •
      MIT License
      •1•0•0•0•Updated Dec 18, 2025Dec 18, 2025

    • impact-dataset-properties-MI-vulnerability-deep-TL

      Public
      Code for the paper Impact of Dataset Properties on Membership Inference Vulnerability of Deep Transfer Learning (NeurIPS 2025)
      Python
      •0•1•0•0•Updated Oct 1, 2025Oct 1, 2025

    • empirical-comparison-mia-transfer-learning

      Public
      Code for the paper Empirical Comparison of Membership Inference Attacks in Deep Transfer Learning
      Jupyter Notebook
      •0•1•0•0•Updated Oct 1, 2025Oct 1, 2025

    • Towards-Efficient-Scalable-Training-DP-DL

      Public
      This repository contains the code to reproduce the experiments carried out in Towards Efficient and Scalable Training of Differentially Private Deep Learning.
      Python
      •
      Apache License 2.0
      •0•2•0•0•Updated Sep 24, 2025Sep 24, 2025

    • generative-ensemble-bias-variance-decomposition

      Public
      Python
      •
      MIT License
      •0•0•0•0•Updated Feb 10, 2025Feb 10, 2025

    • NAPSU-MQ-bayesian-downstream-experiments

      Public
      Jupyter Notebook
      •
      MIT License
      •0•1•0•0•Updated Dec 19, 2024Dec 19, 2024

    • noise-aware-dpvi

      Public
      Python
      •0•0•0•0•Updated Dec 10, 2024Dec 10, 2024

    • HPs_In_Score_Based_MIAs

      Public
      Python
      •0•0•0•0•Updated Nov 11, 2024Nov 11, 2024

    • d3p

      Public
      An implementation of the differentially private variational inference algorithm for NumPyro.
      Python
      •4•16•6•2•Updated Sep 3, 2024Sep 3, 2024

    • twinify

      Public
      A software package for privacy-preserving generation of a synthetic twin to a given sensitive data set.
      Python
      •
      Apache License 2.0
      •4•55•14•2•Updated Sep 3, 2024Sep 3, 2024

    • Collaborative-Learning-with-DP-Synthetic-Twin-Data

      Public
      Code base for the "Collaborative Learning From Distributed Data With Differentially Private Synthetic Twin Data" paper
      Python
      •0•0•0•0•Updated Jul 26, 2024Jul 26, 2024

    • subsampling-is-not-magic

      Public
      This repository contains the code and Mathematica notebooks for the "Subsampling is not Magic: Why Large Batch Sizes Work for Differentially Private Stochastic…
      Mathematica
      •0•0•0•0•Updated May 29, 2024May 29, 2024

    • apc-anonymizer

      Public
      Python
      •
      Apache License 2.0
      •2•3•0•0•Updated Feb 2, 2024Feb 2, 2024

    • dpvim-experiments

      Public
      Code for experiments of the DPVIm paper
      Python
      •0•0•0•0•Updated Sep 11, 2023Sep 11, 2023

    • individual-accounting-gdp

      Public
      Code for the Individual Privacy Accounting with Gaussian Differential Privacy paper (ICLR2023).
      Python
      •
      MIT License
      •0•1•0•0•Updated Sep 1, 2023Sep 1, 2023

    • data-sharing-examples

      Public
      Code for examples in differentially private data sharing
      Python
      •
      MIT License
      •2•2•0•4•Updated Aug 14, 2023Aug 14, 2023

    • NAPSU-MQ-experiments

      Public
      Jupyter Notebook
      •
      Apache License 2.0
      •0•2•0•0•Updated Apr 26, 2023Apr 26, 2023

    • DPPVI

      Public
      Differentially Private Partitioned Variational Inference.
      Jupyter Notebook
      •
      MIT License
      •0•1•0•0•Updated Apr 12, 2023Apr 12, 2023

    • numerical-shuffler-experiments

      Public
      Code for the paper "Numerical Accounting in the Shuffle Model of Differential Privacy" https://openreview.net/forum?id=11osftjEbF
      Python
      •1•2•0•0•Updated Mar 21, 2023Mar 21, 2023

    • PLD-Accountant

      Public
      Code for computing tight guarantees for differential privacy
      Python
      •
      MIT License
      •9•23•1•0•Updated Mar 3, 2023Mar 3, 2023

    • DP-HMC-experiments

      Public
      Differentially Private Hamiltonian Monte Carlo
      Python
      •
      MIT License
      •2•2•0•0•Updated Jun 17, 2021Jun 17, 2021

    • ADADP

      Public
      Learning rate adaptation for differentially private stochastic gradient descent
      Python
      •
      MIT License
      •6•18•0•0•Updated Apr 23, 2021Apr 23, 2021

    • DP-cross-silo-federated-learning

      Public
      Code for the DP cross-silo federated learning paper
      Python
      •
      Apache License 2.0
      •1•11•0•0•Updated Jul 10, 2020Jul 10, 2020

    • DP-MCMC-NeurIPS2019

      Public
      Differentially Private Markov Chain Monte Carlo (NeurIPS 2019)
      Python
      •
      MIT License
      •1•2•0•0•Updated Oct 25, 2019Oct 25, 2019

    • dp-representation-transfer

      Public
      Code for "Representation Transfer for Differentially Private Drug Sensitivity Prediction"
      Python
      •
      MIT License
      •1•1•0•0•Updated Mar 22, 2019Mar 22, 2019

    • dca-nips2017

      Public
      Differentially private learning on distributed data (NIPS 2017)
      Python
      •
      MIT License
      •2•12•0•0•Updated Dec 5, 2017Dec 5, 2017
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