pps-lab / fl-analysis
☆27Updated last year
Related projects ⓘ
Alternatives and complementary repositories for fl-analysis
- IEEE TIFS'20: VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning☆22Updated 2 years ago
- A simple Python implementation of a secure aggregation protocole for federated learning.☆34Updated last year
- SAFEFL: MPC-friendly Framework for Private and Robust Federated Learning☆29Updated last year
- Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC☆30Updated 4 years ago
- This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.☆43Updated last year
- Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)☆53Updated 5 years ago
- reproduce the FLTrust model based on the paper "FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping"☆26Updated last year
- ☆32Updated last year
- A secure aggregation system for private federated learning☆36Updated 6 months ago
- personal implementation of secure aggregation protocol☆42Updated 9 months ago
- Source code for MLSys 2022 submission "LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning"☆23Updated 3 years ago
- OLIVE: Oblivious and Differentially Private Federated Learning on TEE☆14Updated last year
- Implementation of calibration bounds for differential privacy in the shuffle model☆23Updated 4 years ago
- ☆31Updated 4 years ago
- This is an implementation for paper "A Hybrid Approach to Privacy Preserving Federated Learning" (https://arxiv.org/pdf/1812.03224.pdf)☆21Updated 4 years ago
- An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…☆81Updated 5 years ago
- Eluding Secure Aggregation in Federated Learning via Model Inconsistency☆12Updated last year
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆71Updated 3 years ago
- ☆53Updated last year
- Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization☆9Updated 3 years ago
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆74Updated last year
- [arXiv'21] Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning☆18Updated 10 months ago
- Distributed Momentum for Byzantine-resilient Stochastic Gradient Descent (ICLR 2021)☆20Updated 3 years ago
- Secure Aggregation for FL☆34Updated last year
- A sybil-resilient distributed learning protocol.☆94Updated last year
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆135Updated 2 years ago
- Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"☆43Updated last year
- Federated Learning and Membership Inference Attacks experiments on CIFAR10☆19Updated 4 years ago
- Learning from history for Byzantine Robustness☆21Updated 3 years ago
- Privacy-Preserving Deep Learning via Additively Homomorphic Encryption☆67Updated 3 years ago