JonasGeiping / breachingLinks
Breaching privacy in federated learning scenarios for vision and text
☆312Updated 2 weeks ago
Alternatives and similar repositories for breaching
Users that are interested in breaching are comparing it to the libraries listed below
Sorting:
- Algorithms to recover input data from their gradient signal through a neural network☆311Updated 2 years ago
- Code for Data Poisoning Attacks Against Federated Learning Systems☆206Updated 4 years ago
- DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)☆202Updated 4 years ago
- The code for "Improved Deep Leakage from Gradients" (iDLG).☆165Updated 4 years ago
- Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)☆420Updated last month
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆148Updated 3 years ago
- Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)☆313Updated last year
- Implementation of dp-based federated learning framework using PyTorch☆315Updated last month
- Fast, memory-efficient, scalable optimization of deep learning with differential privacy☆139Updated 2 weeks ago
- ☆370Updated last month
- ☆54Updated 4 years ago
- [NeurIPS 2019] Deep Leakage From Gradients☆475Updated 3 years ago
- ⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning☆155Updated 11 months ago
- A library for running membership inference attacks against ML models☆152Updated 3 years ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆152Updated 3 years ago
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆85Updated 2 years ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆57Updated 2 years ago
- autodp: A flexible and easy-to-use package for differential privacy☆278Updated 2 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆158Updated 3 years ago
- ☆180Updated last year
- Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.☆66Updated last year
- Robust aggregation for federated learning with the RFA algorithm.☆53Updated 3 years ago
- Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models☆132Updated last year
- Code and data accompanying the FedGen paper☆258Updated last year
- A sybil-resilient distributed learning protocol.☆110Updated 5 months ago
- Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.☆60Updated 6 years ago
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆193Updated 9 months ago
- Handy PyTorch implementation of Federated Learning (for your painless research)☆464Updated 2 years ago
- Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"☆32Updated 3 years ago
- ☆164Updated 3 years ago