eth-sri / tableakLinks
TabLeak: Tabular Data Leakage in Federated Learning
☆18Updated last year
Alternatives and similar repositories for tableak
Users that are interested in tableak are comparing it to the libraries listed below
Sorting:
- Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning [Accepted at ICML 2023]☆14Updated last year
- ☆55Updated 2 years ago
- This is the official implementation of the ICML 2023 paper "Fair yet Asymptotically Equal Collaborative Learning"☆10Updated 2 years ago
- Official Implementation of ICML'23 "Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting".☆14Updated 2 years ago
- ☆18Updated last year
- ☆40Updated 2 years ago
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆35Updated 3 years ago
- The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".☆62Updated 2 years ago
- ☆14Updated 3 years ago
- ☆17Updated 2 years ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆57Updated 2 years ago
- ☆29Updated 3 years ago
- ☆33Updated 4 years ago
- Practical One-Shot Federated Learning for Cross-Silo Setting☆41Updated 4 years ago
- Personalized Federated Learning under Mixture of Distributions☆19Updated 2 years ago
- A PyTorch based repository for Federate Learning with Differential Privacy☆17Updated 2 years ago
- Fast, memory-efficient, scalable optimization of deep learning with differential privacy☆139Updated 2 weeks ago
- Official codes for "Understanding Deep Gradient Leakage via Inversion Influence Functions", NeurIPS 2023☆16Updated 2 years ago
- Federated Learning - PyTorch☆15Updated 4 years ago
- ☆21Updated 4 years ago
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆44Updated 2 years ago
- ☆36Updated 4 years ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆74Updated 4 years ago
- ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning☆41Updated 3 years ago
- This repo implements several algorithms for learning with differential privacy.☆110Updated 3 years ago
- [CVPRW 2023] "Many-Task Federated Learning: A New Problem Setting and A Simple Baseline" by Ruisi Cai, Xiaohan Chen, Shiwei Liu, Jayanth …☆13Updated 2 years ago
- ☆73Updated 3 years ago
- Papers related to federated learning in top conferences (2020-2024).☆69Updated last year
- [ICLR2024] "Backdoor Federated Learning by Poisoning Backdoor-Critical Layers"☆52Updated last year
- Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank?☆15Updated 3 years ago