srxzr / DPSGD
☆20Updated 5 years ago
Alternatives and similar repositories for DPSGD:
Users that are interested in DPSGD are comparing it to the libraries listed below
- simple Differential Privacy in PyTorch☆48Updated 4 years ago
- Amortized version of the differentially private SGD algorithm published in "Deep Learning with Differential Privacy" by Abadi et al. Enfo…☆41Updated 10 months ago
- This repo implements several algorithms for learning with differential privacy.☆105Updated 2 years ago
- Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget☆49Updated 7 years ago
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆31Updated 3 years ago
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆49Updated 3 years ago
- Differential Privacy Protection against MembershipInference Attack on Machine Learning for Genomic Data☆16Updated 4 years ago
- Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.☆58Updated 5 years ago
- [CCS 2021] "DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation" by Boxin Wang*, Fan Wu*, Yunhui Long…☆37Updated 3 years ago
- Learning rate adaptation for differentially private stochastic gradient descent☆16Updated 3 years ago
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆66Updated 4 years ago
- Official implementation of "GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators" (NeurIPS 2020)☆69Updated 2 years ago
- Pytorch implementation of paper Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data (https://arxiv.org/abs/16…☆43Updated 3 years ago
- Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"☆30Updated 2 years ago
- Implementation of Shuffled Model of Differential Privacy in Federated Learning." AISTATS, 2021.☆17Updated 2 years ago
- ☆13Updated last year
- ☆14Updated last year
- Salvaging Federated Learning by Local Adaptation☆56Updated 7 months ago
- Official implementation of our work "Collaborative Fairness in Federated Learning."☆51Updated 9 months ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆147Updated 2 years ago
- Robust aggregation for federated learning with the RFA algorithm.☆47Updated 2 years ago
- 基于《A Little Is Enough: Circumventing Defenses For Distributed Learning》的联邦学习攻击模型☆62Updated 4 years ago
- The code for "Improved Deep Leakage from Gradients" (iDLG).☆148Updated 3 years ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆71Updated 3 years ago
- Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.☆58Updated 4 months ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆55Updated last year
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆130Updated 2 years ago
- ☆22Updated 2 years ago
- Simplicial-FL to manage client device heterogeneity in Federated Learning☆22Updated last year
- Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness (IJCAI'19).☆13Updated 3 years ago