[NeurIPS 2021] "G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators" by Yunhui Long*, Boxin Wang*, Zhuolin Yang, Bhavya Kailkhura, Aston Zhang, Carl A. Gunter, Bo Li
☆30Oct 26, 2021Updated 4 years ago
Alternatives and similar repositories for G-PATE
Users that are interested in G-PATE are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implementation of a differentially private generative adversarial network.☆11Nov 20, 2018Updated 7 years ago
- Differentially Private Conditional Generative Adversarial Network☆30Oct 12, 2021Updated 5 years ago
- ☆12Jun 17, 2022Updated 4 years ago
- Pytorch implementation of paper Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data (https://arxiv.org/abs/16…☆45Nov 29, 2021Updated 4 years ago
- ☆16Mar 30, 2023Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Improved DP-SGD for optimizing☆20Mar 23, 2019Updated 7 years ago
- ☆24Apr 29, 2022Updated 4 years ago
- Differentially Private Generative Adversarial Networks for Time Series, Continuous, and Discrete Open Data☆34Dec 8, 2018Updated 7 years ago
- This repository contains the implementation of DPMLBench: Holistic Evaluation of Differentially Private Machine Learning☆11Nov 24, 2023Updated 2 years ago
- ☆28Nov 28, 2023Updated 2 years ago
- This repository contains all public data, python scripts, and documentation relating to NIST Public Safety Communications Research Divisi…☆12Nov 22, 2022Updated 3 years ago
- A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.☆78Feb 15, 2024Updated 2 years ago
- CaPC is a method that enables collaborating parties to improve their own local heterogeneous machine learning models in a setting where b…☆24Mar 16, 2022Updated 4 years ago
- Amortized version of the differentially private SGD algorithm published in "Deep Learning with Differential Privacy" by Abadi et al. Enfo…☆44Apr 12, 2024Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- autodp: A flexible and easy-to-use package for differential privacy☆281Dec 5, 2023Updated 2 years ago
- A implementation of DCGAN (Deep Convolutional Generative Adversarial Networks) for CIFAR10 image☆18Jan 31, 2018Updated 8 years ago
- Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"☆32Apr 25, 2022Updated 4 years ago
- A toolbox for differentially private data generation☆133Jul 6, 2023Updated 3 years ago
- Source code of paper "Differentially Private Generative Adversarial Network"☆73Nov 29, 2018Updated 7 years ago
- ☆79May 28, 2022Updated 4 years ago
- Local Differential Privacy for Federated Learning☆19Oct 24, 2022Updated 3 years ago
- Code for paper "Adversarial Support Alignment"☆23Apr 22, 2022Updated 4 years ago
- Differentially Private Diffusion Models☆108Dec 26, 2023Updated 2 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆14Dec 23, 2020Updated 5 years ago
- Differentially private release of semantic rich data☆35Jun 17, 2021Updated 5 years ago
- 同态加密☆21Dec 29, 2021Updated 4 years ago
- On Robustness of Neural Ordinary Differential Equations☆11Oct 12, 2021Updated 5 years ago
- "Stochasticity in Neural ODEs: An Empirical Study". Experiments from the paper☆13Apr 27, 2020Updated 6 years ago
- A Julia implementation of the Paillier partially homomorphic encryption system☆13Oct 8, 2020Updated 6 years ago
- ☆13Apr 12, 2022Updated 4 years ago
- Differentially-private transformers using HuggingFace and Opacus☆149Sep 1, 2026Updated last month
- Source code for the VLDB 2021 paper.☆12May 19, 2021Updated 5 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- DP-FTRL from "Practical and Private (Deep) Learning without Sampling or Shuffling" for centralized training.☆39Jul 17, 2026Updated 2 months ago
- This repo implements several algorithms for learning with differential privacy.☆110Dec 15, 2022Updated 3 years ago
- The privML Privacy Evaluator is a tool that assesses ML model's levels of privacy by running different attacks on it.☆18Sep 6, 2021Updated 5 years ago
- Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)☆48Aug 18, 2022Updated 4 years ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆136Dec 8, 2022Updated 3 years ago
- [ICLR'24 Spotlight] DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer☆48May 30, 2024Updated 2 years ago
- PyTorch implementation for OCT-GAN Neural ODE-based Conditional Tabular GANs (WWW 2021)☆15Oct 10, 2022Updated 4 years ago