Fast, memory-efficient, scalable optimization of deep learning with differential privacy
☆144Jan 22, 2026Updated 9 months ago
Alternatives and similar repositories for fast-differential-privacy
Users that are interested in fast-differential-privacy are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A codebase that makes differentially private training of transformers easy.☆190Dec 9, 2022Updated 3 years ago
- Differentially-private transformers using HuggingFace and Opacus☆149Oct 9, 2026Updated 3 weeks ago
- ☆79May 28, 2022Updated 4 years ago
- Algorithms for Privacy-Preserving Machine Learning in JAX☆200Updated this week
- A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.☆77Feb 15, 2024Updated 2 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Private Adaptive Optimization with Side Information (ICML '22)☆16Jun 23, 2022Updated 4 years ago
- ☆13Oct 2, 2023Updated 3 years ago
- Training PyTorch models with differential privacy☆1,970Sep 24, 2026Updated last month
- ☆28Nov 28, 2023Updated 2 years ago
- This repo implements several algorithms for learning with differential privacy.☆110Dec 15, 2022Updated 3 years ago
- ☆27Apr 15, 2024Updated 2 years ago
- ☆15Jun 5, 2023Updated 3 years ago
- ☆16Apr 4, 2024Updated 2 years ago
- ☆10Jun 1, 2022Updated 4 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Analytic calibration for differential privacy with Gaussian perturbations☆52Oct 7, 2018Updated 8 years ago
- autodp: A flexible and easy-to-use package for differential privacy☆280Dec 5, 2023Updated 2 years ago
- ☆13Oct 20, 2022Updated 4 years ago
- Computationally friendly hyper-parameter search with DP-SGD☆27Jan 7, 2025Updated last year
- Code for the paper "Evading Black-box Classifiers Without Breaking Eggs" [SaTML 2024]☆21Apr 15, 2024Updated 2 years ago
- Code for computing tight guarantees for differential privacy☆22Mar 3, 2023Updated 3 years ago
- [NeurIPS 2023] Differentially Private Image Classification by Learning Priors from Random Processes☆12Jun 12, 2023Updated 3 years ago
- DP-FTRL from "Practical and Private (Deep) Learning without Sampling or Shuffling" for centralized training.☆39Jul 17, 2026Updated 3 months ago
- ☆21Sep 21, 2021Updated 5 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.
- [ICML 2024 Spotlight] Differentially Private Synthetic Data via Foundation Model APIs 2: Text☆62Jan 11, 2025Updated last year
- DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private Text Rewriting☆14Apr 27, 2023Updated 3 years ago
- ☆12Jun 17, 2022Updated 4 years ago
- ☆13May 30, 2022Updated 4 years ago
- Private Evolution: Generating DP Synthetic Data without Model Training [ICML 2026, ICLR 2024, ICML 2024 Spotlight]☆120Updated this week
- Library for training machine learning models with privacy for training data☆2,038Updated this week
- Simulation framework for accelerating research in Private Federated Learning☆359Oct 29, 2026Updated last week
- [ICML 2024] DPZero: Private Fine-Tuning of Language Models without Backpropagation☆17Sep 4, 2024Updated 2 years ago
- DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release (VLDB' 2024)☆27Jan 25, 2025Updated last year
- 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.
- Python package to create a report for mobility data with differential privacy guarantees.☆15Sep 18, 2024Updated 2 years ago
- Open source database anonymizing tool☆10Oct 24, 2024Updated 2 years ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆136Dec 8, 2022Updated 3 years ago
- A collection of Google research projects related to Federated Learning and Federated Analytics.☆765Mar 25, 2026Updated 7 months ago
- Official implementation for "Pruning Randomly Initialized Neural Networks with Iterative Randomization"☆10Oct 5, 2021Updated 5 years ago
- Pytorch implementation of the DriftXpress paper☆21May 16, 2026Updated 5 months ago
- ☆15Sep 6, 2022Updated 4 years ago