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.
☆43Updated 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:
- Implementation of dp-based federated learning framework using PyTorch☆315Updated last month
- 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"☆148Updated 3 years ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆152Updated 3 years ago
- Code for Data Poisoning Attacks Against Federated Learning Systems☆206Updated 4 years ago
- Differential private machine learning☆200Updated 3 years ago
- Robust aggregation for federated learning with the RFA algorithm.☆53Updated 3 years ago
- Implementation of calibration bounds for differential privacy in the shuffle model☆21Updated 5 years ago
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆67Updated 5 years ago
- Differentially Private Federated Learning on Heterogeneous Data☆72Updated 3 years ago
- Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget☆49Updated 7 years ago
- A sybil-resilient distributed learning protocol.☆110Updated 4 months ago
- Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"☆32Updated 3 years ago
- This repo implements several algorithms for learning with differential privacy.☆110Updated 3 years ago
- DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)☆202Updated 4 years ago
- Algorithms to recover input data from their gradient signal through a neural network☆311Updated 2 years ago
- Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)☆313Updated last year
- ☆36Updated 4 years ago
- PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance☆34Updated last year
- ☆34Updated 3 years ago
- Privacy Preserving Vertical Federated Learning☆222Updated 2 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆133Updated 2 years ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆57Updated 2 years ago
- ☆46Updated 2 years ago
- This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…☆56Updated 3 months ago
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆85Updated 2 years ago
- ☆54Updated 4 years ago
- Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)☆76Updated 11 months ago
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆33Updated 4 years ago
- Accenture Labs Federated Learning☆106Updated last year