[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:
- Differentially Private Conditional Generative Adversarial Network☆31Oct 12, 2021Updated 4 years ago
- ☆12Jun 17, 2022Updated 3 years ago
- Pytorch implementation of paper Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data (https://arxiv.org/abs/16…☆46Nov 29, 2021Updated 4 years ago
- Official implementation of "GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators" (NeurIPS 2020)☆70Sep 26, 2022Updated 3 years ago
- ☆16Mar 30, 2023Updated 3 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- 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
- 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 fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.☆77Feb 15, 2024Updated 2 years ago
- autodp: A flexible and easy-to-use package for differential privacy☆279Dec 5, 2023Updated 2 years ago
- Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"☆32Apr 25, 2022Updated 4 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆79May 28, 2022Updated 3 years ago
- ☆14Dec 23, 2020Updated 5 years ago
- Local Differential Privacy for Federated Learning☆19Oct 24, 2022Updated 3 years ago
- Differentially Private Diffusion Models☆106Dec 26, 2023Updated 2 years ago
- Differentially private release of semantic rich data☆35Jun 17, 2021Updated 4 years ago
- "Stochasticity in Neural ODEs: An Empirical Study". Experiments from the paper☆13Apr 27, 2020Updated 6 years ago
- Differentially-private transformers using HuggingFace and Opacus☆148Aug 28, 2024Updated last year
- Targeted Data Generation with Large Language Models☆19Jun 25, 2024Updated last year
- A package for online distributional learning.☆35Apr 22, 2026Updated last month
- 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.
- Machine Learning and Artificial Intelligence for Medicine.☆469Feb 27, 2023Updated 3 years ago
- Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)☆48Aug 18, 2022Updated 3 years ago
- This repo implements several algorithms for learning with differential privacy.☆110Dec 15, 2022Updated 3 years ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆136Dec 8, 2022Updated 3 years ago
- 多年不见，她还好吗？再也回不去的那个盛夏，在嘴边说不出口的话 。 如果当初勇敢点，结果会不会改变？ 不妨把过去的她蒸馏，找寻自己想要的答案。 Inspired by colleague-skill（同事skill）and ex-skill（前任skill）.☆69Apr 9, 2026Updated last month
- ☆13Oct 24, 2021Updated 4 years ago
- ☆12Dec 22, 2025Updated 5 months ago
- ☆11May 9, 2022Updated 4 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 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.
- Training PyTorch models with differential privacy☆1,928May 5, 2026Updated 2 weeks ago
- Target Agnostic Attack on Deep Models: Exploiting Security Vulnerabilities of Transfer Learning☆10Jul 2, 2019Updated 6 years ago
- Unified, Simplified, Tight and Fast Privacy Amplification in the Shuffle Model of Differential Privacy☆11Oct 27, 2024Updated last year
- [ICLR'24 Spotlight] DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer☆47May 30, 2024Updated last year
- This website is to host a series of tutorials on Deep Learning on Graphs for Natural Language Processing.☆13Sep 19, 2022Updated 3 years ago
- ☆25Jan 20, 2019Updated 7 years ago
- ☆13Dec 13, 2021Updated 4 years ago