DPBayes
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PLD-Accountant
PLD-Accountant PublicCode for computing tight guarantees for differential privacy
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dca-nips2017
dca-nips2017 PublicDifferentially private learning on distributed data (NIPS 2017)
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jax-chacha-prng
jax-chacha-prng PublicA cryptographically-secure pseudo-random number generator for JAX based on the 20 round ChaCha cipher.
Repositories
- HPs_In_Score_Based_MIAs Public
DPBayes/HPs_In_Score_Based_MIAs’s past year of commit activity - 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.
DPBayes/Towards-Efficient-Scalable-Training-DP-DL’s past year of commit activity - Collaborative-Learning-with-DP-Synthetic-Twin-Data Public
Code base for the "Collaborative Learning From Distributed Data With Differentially Private Synthetic Twin Data" paper
DPBayes/Collaborative-Learning-with-DP-Synthetic-Twin-Data’s past year of commit activity - 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 Optimisation" paper
DPBayes/subsampling-is-not-magic’s past year of commit activity - jax-chacha-prng Public
A cryptographically-secure pseudo-random number generator for JAX based on the 20 round ChaCha cipher.
DPBayes/jax-chacha-prng’s past year of commit activity - apc-anonymizer Public
DPBayes/apc-anonymizer’s past year of commit activity
