SAP-archive / security-research-membership-inference-and-differential-privacyLinks
SAP Security Research sample code to reproduce the research done in our paper "Comparing local and central differential privacy using membership inference attacks".
☆17Updated last year
Alternatives and similar repositories for security-research-membership-inference-and-differential-privacy
Users that are interested in security-research-membership-inference-and-differential-privacy are comparing it to the libraries listed below
Sorting:
- Python package to create adversarial agents for membership inference attacks againts machine learning models☆47Updated 6 years ago
- ☆10Updated last year
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆135Updated 2 years ago
- Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.☆60Updated 6 years ago
- Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models☆126Updated last year
- Amortized version of the differentially private SGD algorithm published in "Deep Learning with Differential Privacy" by Abadi et al. Enfo…☆41Updated last year
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆33Updated 4 years ago
- Local Differential Privacy for Federated Learning☆16Updated 2 years ago
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆68Updated 4 years ago
- Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"☆32Updated 3 years ago
- Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19☆34Updated 4 years ago
- PrivGAN: Protecting GANs from membership inference attacks at low cost☆33Updated 11 months ago
- ☆45Updated 5 years ago
- Federated Learning and Membership Inference Attacks experiments on CIFAR10☆22Updated 5 years ago
- Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"☆37Updated 6 years ago
- Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.☆62Updated 8 months ago
- Analytic calibration for differential privacy with Gaussian perturbations☆48Updated 6 years ago
- This repo implements several algorithms for learning with differential privacy.☆107Updated 2 years ago
- Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"☆46Updated last year
- Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)☆75Updated 3 months ago
- Differentially Private Federated Learning on Heterogeneous Data☆64Updated 3 years ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆72Updated 3 years ago
- Pytorch implementation of paper Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data (https://arxiv.org/abs/16…☆44Updated 3 years ago
- Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)☆194Updated 7 years ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆56Updated 2 years ago
- A library for running membership inference attacks against ML models☆147Updated 2 years ago
- A sybil-resilient distributed learning protocol.☆103Updated last year
- Implementation of Shuffled Model of Differential Privacy in Federated Learning." AISTATS, 2021.☆18Updated 2 years ago
- Multiple Frequency Estimation Under Local Differential Privacy in Python☆48Updated last year
- ☆30Updated 5 years ago