pps-lab / rofl-project-codeLinks
☆33Updated 2 years ago
Alternatives and similar repositories for rofl-project-code
Users that are interested in rofl-project-code are comparing it to the libraries listed below
Sorting:
- ☆28Updated 2 years ago
- Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)☆54Updated 6 years ago
- ☆88Updated 5 years ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆136Updated 2 years ago
- A simple Python implementation of a secure aggregation protocole for federated learning.☆35Updated 2 years ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆73Updated 4 years ago
- A Simulator for Privacy Preserving Federated Learning☆94Updated 4 years ago
- Source code for MLSys 2022 submission "LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning"☆23Updated 3 years ago
- Secure Aggregation for FL☆35Updated last year
- A secure aggregation system for private federated learning☆41Updated last year
- 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
- A sybil-resilient distributed learning protocol.☆105Updated last week
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆57Updated 2 years ago
- ☆30Updated 5 years ago
- ☆80Updated 3 years ago
- Secure Aggregation for Federated Learning with Malicious Actors☆25Updated 2 years ago
- Learning from history for Byzantine Robustness☆25Updated 4 years ago
- News in Privacy-Preserving Machine Learning☆12Updated 5 years ago
- This work combines differential privacy and multi-party computation protocol to achieve distributed machine learning.☆26Updated 4 years ago
- Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19☆33Updated 4 years ago
- Byzantine-resilient distributed SGD with TensorFlow.☆40Updated 4 years ago
- Privacy-Preserving Deep Learning via Additively Homomorphic Encryption☆71Updated 4 years ago
- [CCS 2021] "DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation" by Boxin Wang*, Fan Wu*, Yunhui Long…☆38Updated 3 years ago
- A curated list of resources for privacy-preserving machine learning☆149Updated 3 years ago
- Code for Canonne-Kamath-Steinke paper https://arxiv.org/abs/2004.00010☆60Updated 5 years ago
- Privacy -preserving Neural Networks☆79Updated 6 years ago
- An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…☆89Updated 6 years ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆151Updated 2 years ago
- MPC Secure Multiparty Computation. A three-party secret-sharing-based vertical federated learning setting. The data are vertically parti…☆23Updated 6 years ago
- ☆46Updated 3 years ago