[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 5 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:
- Differentially private GAN: privacy-preserving synthetic data generation☆11Nov 20, 2018Updated 7 years ago
- Differentially Private Conditional Generative Adversarial Network☆30Oct 12, 2021Updated 5 years ago
- Official implementation of "GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators" (NeurIPS 2020)☆71Sep 26, 2022Updated 4 years ago
- ☆16Mar 30, 2023Updated 3 years ago
- ☆24Apr 29, 2022Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"☆32Apr 25, 2022Updated 4 years ago
- Improved DP-SGD for optimizing☆20Mar 23, 2019Updated 7 years ago
- The code accompanying paper: Nonlinear Gradient Estimation for Query Efficient Blackbox Attack☆10Feb 22, 2021Updated 5 years ago
- Differentially Private Generative Adversarial Networks for Time Series, Continuous, and Discrete Open Data☆34Dec 8, 2018Updated 7 years ago
- ☆28Nov 28, 2023Updated 2 years ago
- autodp: A flexible and easy-to-use package for differential privacy☆280Dec 5, 2023Updated 2 years ago
- This repository contains the implementation of DPMLBench: Holistic Evaluation of Differentially Private Machine Learning☆11Nov 24, 2023Updated 2 years ago
- CoPur: Certifiably Robust Collaborative Inference via Feature Purification (NeurIPS 2022)☆11Dec 7, 2022Updated 3 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
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- 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
- A TensorFlow (Python 3) implementation of a differentially-private-GAN.☆20Feb 21, 2020Updated 6 years ago
- DP-FTRL from "Practical and Private (Deep) Learning without Sampling or Shuffling" for centralized training.☆39Jul 17, 2026Updated 3 months ago
- A implementation of DCGAN (Deep Convolutional Generative Adversarial Networks) for CIFAR10 image☆18Jan 31, 2018Updated 8 years ago
- A toolbox for differentially private data generation☆133Jul 6, 2023Updated 3 years ago
- ☆79May 28, 2022Updated 4 years ago
- Source code of paper "Differentially Private Generative Adversarial Network"☆73Nov 29, 2018Updated 7 years ago
- Secure Aggregation for FL☆39Nov 25, 2023Updated 2 years ago
- Local Differential Privacy for Federated Learning☆19Oct 24, 2022Updated 4 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Differentially private release of semantic rich data☆35Jun 17, 2021Updated 5 years ago
- 同态加密☆21Dec 29, 2021Updated 4 years ago
- AAAI 2024☆10Jan 2, 2024Updated 2 years ago
- Jump to better conclusions: SCAN both left and right☆11Jan 24, 2019Updated 7 years ago
- Differentially Private (tabular) Generative Models Papers with Code☆54Jul 2, 2024Updated 2 years ago
- "Stochasticity in Neural ODEs: An Empirical Study". Experiments from the paper☆13Apr 27, 2020Updated 6 years ago
- On Robustness of Neural Ordinary Differential Equations☆11Oct 12, 2021Updated 5 years ago
- Differentially-private transformers using HuggingFace and Opacus☆149Oct 9, 2026Updated 3 weeks ago
- ☆13Apr 12, 2022Updated 4 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ☆10May 30, 2025Updated last year
- Source code for the VLDB 2021 paper.☆13May 19, 2021Updated 5 years ago
- Machine Learning and Artificial Intelligence for Medicine.☆473Feb 27, 2023Updated 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
- ☆17Dec 6, 2023Updated 2 years ago
- Code for CVPR2020 paper QEBA: Query-Efficient Boundary-Based Blackbox Attack☆32Feb 21, 2021Updated 5 years ago
- PyTorch implementation for OCT-GAN Neural ODE-based Conditional Tabular GANs (WWW 2021)☆15Oct 10, 2022Updated 4 years ago