JonasGeiping / invertinggradientsLinks
Algorithms to recover input data from their gradient signal through a neural network
☆293Updated 2 years ago
Alternatives and similar repositories for invertinggradients
Users that are interested in invertinggradients are comparing it to the libraries listed below
Sorting:
- Breaching privacy in federated learning scenarios for vision and text☆295Updated last year
- The code for "Improved Deep Leakage from Gradients" (iDLG).☆152Updated 4 years ago
- DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)☆194Updated 3 years ago
- [NeurIPS 2019] Deep Leakage From Gradients☆439Updated 3 years ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆151Updated 2 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆155Updated 4 years ago
- Implementation of dp-based federated learning framework using PyTorch☆300Updated 2 years ago
- Code for Data Poisoning Attacks Against Federated Learning Systems☆194Updated 4 years ago
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆191Updated 2 months ago
- Code and data accompanying the FedGen paper☆252Updated 7 months ago
- Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)☆299Updated 10 months ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆144Updated 3 years ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆237Updated 10 months ago
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆146Updated 2 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆163Updated 2 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆128Updated 2 years ago
- Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)☆193Updated 7 years ago
- On the Convergence of FedAvg on Non-IID Data☆267Updated 2 years ago
- ⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning☆141Updated 4 months ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆175Updated 4 years ago
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆84Updated 2 years ago
- ☆175Updated 7 months ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆84Updated 5 years ago
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆215Updated 4 years ago
- ☆159Updated 2 years ago
- Robust aggregation for federated learning with the RFA algorithm.☆48Updated 2 years ago
- A library for running membership inference attacks against ML models☆148Updated 2 years ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆85Updated 3 years ago
- Amortized version of the differentially private SGD algorithm published in "Deep Learning with Differential Privacy" by Abadi et al. Enfo…☆41Updated last year
- simple Differential Privacy in PyTorch☆48Updated 5 years ago