Samuel-Maddock / federated-boosted-dp-treesLinks
Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"
☆51Updated 2 years ago
Alternatives and similar repositories for federated-boosted-dp-trees
Users that are interested in federated-boosted-dp-trees are comparing it to the libraries listed below
Sorting:
- Differentially Private Federated Learning on Heterogeneous Data☆69Updated 3 years ago
- Source code for MLSys 2022 submission "LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning"☆24Updated 4 years ago
- Implementation of calibration bounds for differential privacy in the shuffle model☆21Updated 5 years ago
- ☆47Updated last year
- ⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning☆150Updated 9 months ago
- An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…☆91Updated 6 years ago
- Code for Paper "Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption"☆33Updated 3 years ago
- Implementation of dp-based federated learning framework using PyTorch☆312Updated 2 years ago
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆131Updated last year
- vertical federated learning paper lists☆77Updated 4 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆46Updated 2 years ago
- Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization☆13Updated 4 years ago
- THU-AIR Vertical Federated Learning general, extensible and light-weight framework☆100Updated last year
- Code & supplementary material of the paper Label Inference Attacks Against Federated Learning on Usenix Security 2022.☆85Updated 2 years ago
- ☆35Updated 3 years ago
- Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC☆37Updated 5 years ago
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆67Updated 4 years ago
- An Efficient Learning Framework For Federated XGBoostUsing Secret Sharing And Distributed Optimization☆32Updated 8 months ago
- This is an implementation for paper "A Hybrid Approach to Privacy Preserving Federated Learning" (https://arxiv.org/pdf/1812.03224.pdf)☆23Updated 5 years ago
- ☆35Updated 4 years ago
- personal implementation of secure aggregation protocol☆46Updated last year
- ☆43Updated 2 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆34Updated 4 years ago
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆147Updated 3 years ago
- PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance☆34Updated last year
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆57Updated 2 years ago
- A simple Python implementation of a secure aggregation protocole for federated learning.☆37Updated 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
- Eluding Secure Aggregation in Federated Learning via Model Inconsistency☆12Updated 2 years ago
- Privacy-Preserving Deep Learning via Additively Homomorphic Encryption☆72Updated 4 years ago