Code for fast dpsgd implementations in JAX/TF
☆59Oct 12, 2022Updated 3 years ago
Alternatives and similar repositories for fast-dpsgd
Users that are interested in fast-dpsgd are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Github pages backend for https://differentialprivacy.org☆27Feb 6, 2026Updated 3 months ago
- Probabilistic Solution of Differential Equations☆13Jun 19, 2022Updated 3 years ago
- ☆37Mar 16, 2022Updated 4 years ago
- ☆23Dec 15, 2022Updated 3 years ago
- [NeurIPS 2020] Simple and practical private mean and covariance estimation.☆35Oct 4, 2020Updated 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.
- Research and experimental code related to Opacus, an open-source library for training PyTorch models with Differential Privacy☆18Oct 9, 2024Updated last year
- Code for Canonne-Kamath-Steinke paper https://arxiv.org/abs/2004.00010☆64Jun 16, 2020Updated 5 years ago
- ☆166Dec 13, 2023Updated 2 years ago
- This repo contains the underlying code for all the experiments from the paper: "Automatic Discovery of Privacy-Utility Pareto Fronts"☆28Oct 3, 2022Updated 3 years ago
- Library for training machine learning models with privacy for training data☆2,012Updated this week
- ☆15Jun 5, 2023Updated 2 years ago
- ☆80May 22, 2022Updated 3 years ago
- Algorithms for Privacy-Preserving Machine Learning in JAX☆169Apr 24, 2026Updated last week
- Code for Auditing DPSGD☆39Feb 15, 2022Updated 4 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- [AISTATS2020] The official repository of "Invertible Generative Modling using Linear Rational Splines (LRS)".☆20May 12, 2023Updated 2 years ago
- A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"☆20Jan 11, 2019Updated 7 years ago
- ☆12Dec 7, 2017Updated 8 years ago
- Training PyTorch models with differential privacy☆1,922Apr 10, 2026Updated 3 weeks ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆136Dec 8, 2022Updated 3 years ago
- Pytorch optimizers implementing Hilbert Constrained Gradient Descent☆19May 9, 2019Updated 6 years ago
- Annealed Importance Sampling (AIS) for generative models.☆16Jul 20, 2018Updated 7 years ago
- Code for AAAI 2021 Paper "Membership Privacy for Machine Learning Models Through Knowledge Transfer"☆11Apr 5, 2021Updated 5 years ago
- autodp: A flexible and easy-to-use package for differential privacy☆279Dec 5, 2023Updated 2 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.
- ☆20Apr 10, 2019Updated 7 years ago
- FedCD: Improving Performance in non-IID Federated Learning☆14Dec 2, 2020Updated 5 years ago
- Source code for the VLDB 2021 paper.☆11May 19, 2021Updated 4 years ago
- Code for our paper "Active Perception using Light Curtains for Autonomous Driving", ECCV 2020☆10Dec 7, 2021Updated 4 years ago
- ☆10Jun 1, 2022Updated 3 years ago
- A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.☆76Feb 15, 2024Updated 2 years ago
- Collection of notebooks exploring conv nets in detail.☆10Sep 14, 2017Updated 8 years ago
- Inference on non-linear dynamical systems written in JAX☆11Aug 20, 2020Updated 5 years ago
- A simple algorithm to identify and correct for label shift.☆21Feb 4, 2018Updated 8 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.
- Minimax Optimization, Stackelberg Games, Generative Adversarial Networks☆19Feb 14, 2020Updated 6 years ago
- PIX is an image processing library in JAX, for JAX.☆436Mar 6, 2025Updated last year
- [NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks☆83Oct 1, 2020Updated 5 years ago
- ☆24Feb 3, 2019Updated 7 years ago
- Python 3.6 and TensorFlow implementation of the AReS and MaRS algorithms☆11Jun 23, 2019Updated 6 years ago
- [IEEE S&P 22] "LinkTeller: Recovering Private Edges from Graph Neural Networks via Influence Analysis" by Fan Wu, Yunhui Long, Ce Zhang, …☆23Sep 7, 2021Updated 4 years ago
- Differential Privacy Preservation in Deep Learning under Model Attacks☆135Apr 16, 2021Updated 5 years ago