thecml / dpsgd-optimizerLinks
Amortized version of the differentially private SGD algorithm published in "Deep Learning with Differential Privacy" by Abadi et al. Enforces privacy by clipping and sanitising the gradients with Gaussian noise during training.
☆42Updated last year
Alternatives and similar repositories for dpsgd-optimizer
Users that are interested in dpsgd-optimizer are comparing it to the libraries listed below
Sorting:
- Code for Data Poisoning Attacks Against Federated Learning Systems☆202Updated 4 years ago
- Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget☆49Updated 7 years ago
- Implementation of dp-based federated learning framework using PyTorch☆312Updated 2 years ago
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆49Updated 4 years ago
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆147Updated 3 years ago
- Local Differential Privacy for Federated Learning☆18Updated 3 years ago
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆67Updated 4 years ago
- Differentially Private Federated Learning on Heterogeneous Data☆69Updated 3 years ago
- This repo implements several algorithms for learning with differential privacy.☆110Updated 2 years ago
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆84Updated 2 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆34Updated 4 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆149Updated 3 years ago
- ☆35Updated 3 years ago
- Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.☆65Updated last year
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆46Updated 2 years ago
- Differential private machine learning☆195Updated 3 years ago
- Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"☆51Updated 2 years ago
- Robust aggregation for federated learning with the RFA algorithm.☆51Updated 3 years ago
- Federated Learning and Membership Inference Attacks experiments on CIFAR10☆23Updated 5 years ago
- Implementation of calibration bounds for differential privacy in the shuffle model☆21Updated 5 years ago
- Algorithms to recover input data from their gradient signal through a neural network☆307Updated 2 years ago
- An implementation of Deep Learning with Differential Privacy☆26Updated 2 years ago
- A sybil-resilient distributed learning protocol.☆105Updated 2 months ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆151Updated 3 years ago
- This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…☆54Updated last month
- ⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning☆150Updated 8 months ago
- PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance☆34Updated last year
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆132Updated 2 years ago
- This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.☆46Updated 2 years ago
- ☆54Updated 4 years ago