pps-lab / fl-analysisLinks
☆29Updated 2 years ago
Alternatives and similar repositories for fl-analysis
Users that are interested in fl-analysis are comparing it to the libraries listed below
Sorting:
- A simple Python implementation of a secure aggregation protocole for federated learning.☆35Updated 2 years ago
- Privacy-Preserving Deep Learning via Additively Homomorphic Encryption☆70Updated 4 years ago
- ⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning☆142Updated 5 months ago
- ☆88Updated 5 years ago
- Source code for MLSys 2022 submission "LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning"☆23Updated 3 years ago
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆147Updated 3 years ago
- An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…☆88Updated 6 years ago
- A sybil-resilient distributed learning protocol.☆106Updated last year
- This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.☆45Updated 2 years ago
- Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"☆46Updated last year
- Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization☆12Updated 4 years ago
- personal implementation of secure aggregation protocol☆46Updated last year
- Code & supplementary material of the paper Label Inference Attacks Against Federated Learning on Usenix Security 2022.☆84Updated 2 years ago
- Implementation of calibration bounds for differential privacy in the shuffle model☆22Updated 4 years 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
- SAFEFL: MPC-friendly Framework for Private and Robust Federated Learning☆40Updated last year
- IEEE TIFS'20: VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning☆24Updated 2 years ago
- ☆33Updated 2 years ago
- A secure aggregation system for private federated learning☆41Updated last year
- Eluding Secure Aggregation in Federated Learning via Model Inconsistency☆12Updated 2 years ago
- ☆30Updated 5 years ago
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆84Updated 2 years ago
- Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC☆35Updated 5 years ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆57Updated 2 years ago
- reproduce the FLTrust model based on the paper "FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping"☆30Updated 2 years ago
- DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)☆196Updated 4 years ago
- ☆35Updated 2 years ago
- Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradi…☆31Updated 4 years ago
- FL-Defender: Combating Targeted Attacks in Federated Learning☆1Updated 2 years ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆73Updated 4 years ago