pasquini-dario / EludingSecureAggregationLinks
Eluding Secure Aggregation in Federated Learning via Model Inconsistency
☆12Updated 2 years ago
Alternatives and similar repositories for EludingSecureAggregation
Users that are interested in EludingSecureAggregation are comparing it to the libraries listed below
Sorting:
- Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization☆11Updated 3 years ago
- Membership Inference Attack on Federated Learning☆12Updated 3 years ago
- ☆15Updated last year
- PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance☆32Updated 7 months ago
- Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC☆35Updated 4 years ago
- reproduce the FLTrust model based on the paper "FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping"☆29Updated 2 years ago
- Federated Learning and Membership Inference Attacks experiments on CIFAR10☆22Updated 5 years ago
- ☆28Updated 2 years ago
- Local Differential Privacy for Federated Learning☆16Updated 2 years ago
- ☆38Updated last year
- ☆55Updated 2 years ago
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆34Updated 2 years ago
- This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.☆44Updated last year
- Source code for MLSys 2022 submission "LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning"☆23Updated 3 years ago
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆83Updated 2 years ago
- FL-Defender: Combating Targeted Attacks in Federated Learning☆1Updated 2 years ago
- Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"☆46Updated last year
- ☆22Updated last year
- ☆40Updated last year
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆40Updated 3 years ago
- IEEE TIFS'20: VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning☆24Updated 2 years ago
- Implementation of Shuffled Model of Differential Privacy in Federated Learning." AISTATS, 2021.☆18Updated 2 years ago
- ☆37Updated 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
- ☆25Updated 3 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆33Updated 4 years ago
- Learning from history for Byzantine Robustness☆23Updated 3 years ago
- ☆12Updated 2 years ago
- OLIVE: Oblivious and Differentially Private Federated Learning on TEE☆16Updated 2 years ago
- This is the repository for the work "An ensemble mechanism to tackle the heterogeneity in asynchronous federated learning"☆11Updated 3 years ago