pasquini-dario / EludingSecureAggregation
Eluding Secure Aggregation in Federated Learning via Model Inconsistency
☆12Updated last year
Related projects ⓘ
Alternatives and complementary repositories for EludingSecureAggregation
- Federated Learning and Membership Inference Attacks experiments on CIFAR10☆19Updated 4 years ago
- Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization☆9Updated 3 years ago
- Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC☆30Updated 4 years ago
- SAFEFL: MPC-friendly Framework for Private and Robust Federated Learning☆29Updated last year
- reproduce the FLTrust model based on the paper "FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping"☆26Updated last year
- This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.☆43Updated last year
- PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance☆31Updated last month
- Local Differential Privacy for Federated Learning☆16Updated 2 years ago
- ☆16Updated last year
- ☆27Updated last year
- ☆34Updated 3 years ago
- ☆36Updated last year
- ☆37Updated 9 months ago
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆30Updated 2 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆30Updated 3 years ago
- Differentially Private Federated Learning on Heterogeneous Data☆59Updated 2 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
- ☆38Updated 3 years ago
- Learning from history for Byzantine Robustness☆21Updated 3 years ago
- IEEE TIFS'20: VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning☆22Updated 2 years ago
- Multi-metrics adaptively identifies backdoors in Federated learning☆22Updated 11 months ago
- Implementation of Shuffled Model of Differential Privacy in Federated Learning." AISTATS, 2021.☆17Updated 2 years ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆55Updated last year
- Backdoor detection in Federated learning with similarity measurement☆20Updated 2 years ago
- ☆53Updated last year
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆74Updated last year
- OLIVE: Oblivious and Differentially Private Federated Learning on TEE☆14Updated last year
- Source code for MLSys 2022 submission "LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning"☆23Updated 3 years ago
- ☆31Updated 4 years ago