DPBayes
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PLD-Accountant
PLD-Accountant PublicCode for computing tight guarantees for differential privacy
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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.
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dca-nips2017
dca-nips2017 PublicDifferentially private learning on distributed data (NIPS 2017)
Repositories
- 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"
DPBayes/limitations_of_add_remove_adjacency_in_dp’s past year of commit activity - 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)
DPBayes/impact-dataset-properties-MI-vulnerability-deep-TL’s past year of commit activity - empirical-comparison-mia-transfer-learning Public
Code for the paper Empirical Comparison of Membership Inference Attacks in Deep Transfer Learning
DPBayes/empirical-comparison-mia-transfer-learning’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 - noise-aware-dpvi Public
DPBayes/noise-aware-dpvi’s past year of commit activity - HPs_In_Score_Based_MIAs Public
DPBayes/HPs_In_Score_Based_MIAs’s past year of commit activity
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