abogdanova / FL-MIAView external linksLinks
Federated Learning and Membership Inference Attacks experiments on CIFAR10
☆23Jan 29, 2020Updated 6 years ago
Alternatives and similar repositories for FL-MIA
Users that are interested in FL-MIA are comparing it to the libraries listed below
Sorting:
- Membership Inference Attack on Federated Learning☆12Jan 14, 2022Updated 4 years ago
- ☆16Apr 16, 2019Updated 6 years ago
- Research simulation toolkit for federated learning☆13Nov 7, 2020Updated 5 years ago
- The implementatioin code of paper: “A Practical Clean-Label Backdoor Attack with Limited Information in Vertical Federated Learning”☆11Jul 1, 2023Updated 2 years ago
- Privacy Preserving Collaborative Encrypted Network Traffic Classification (Differential Privacy, Federated Learning, Membership Inference…☆127May 1, 2023Updated 2 years ago
- MPC Secure Multiparty Computation. A three-party secret-sharing-based vertical federated learning setting. The data are vertically parti…☆24Jul 1, 2019Updated 6 years ago
- ☆31Apr 8, 2020Updated 5 years ago
- Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC☆37Jul 16, 2020Updated 5 years ago
- Code & supplementary material of the paper Label Inference Attacks Against Federated Learning on Usenix Security 2022.☆86Jun 27, 2023Updated 2 years ago
- PrivGAN: Protecting GANs from membership inference attacks at low cost☆36Jun 17, 2024Updated last year
- Differentially Private Federated Learning: A Client Level Perspective☆12Jul 3, 2019Updated 6 years ago
- A list of papers using/about Federated Learning especially malicious client and attacks.☆12Aug 22, 2020Updated 5 years ago
- ☆14Dec 8, 2022Updated 3 years ago
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆61Feb 4, 2022Updated 4 years ago
- Code for the paper: Label-Only Membership Inference Attacks☆68Sep 11, 2021Updated 4 years ago
- Gradient-Leakage Resilient Federated Learning☆14Jul 25, 2022Updated 3 years ago
- ☆36Jan 5, 2022Updated 4 years ago
- ☆15Dec 7, 2023Updated 2 years ago
- verifying machine unlearning by backdooring☆20Mar 25, 2023Updated 2 years ago
- Code for paper "Byzantine-Resilient Distributed Finite-Sum Optimization over Networks"☆18Nov 5, 2020Updated 5 years ago
- A library for running membership inference attacks against ML models☆152Dec 8, 2022Updated 3 years ago
- ☆47Apr 26, 2024Updated last year
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆44Oct 29, 2021Updated 4 years ago
- OLIVE: Oblivious and Differentially Private Federated Learning on TEE☆17May 10, 2023Updated 2 years ago
- ☆24Nov 11, 2022Updated 3 years ago
- The HyFed framework provides an easy-to-use API to develop federated, privacy-preserving machine learning algorithms.☆18Sep 10, 2025Updated 5 months ago
- Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)☆76Feb 9, 2025Updated last year
- The code of the attack scheme in the paper "Backdoor Attack Against Split Neural Network-Based Vertical Federated Learning"☆21Oct 13, 2023Updated 2 years ago
- 用python画出一幅标准的五星红旗，庆祝国庆节！☆11Oct 14, 2022Updated 3 years ago
- SPATL: Salient Prameter Aggregation and Transfer Learning for Heterogeneous Federated Learning☆23Nov 17, 2022Updated 3 years ago
- Medical data is often highly sensitive in terms of data privacy and security concerns. Federated learning, one type of machine learn- ing…☆24Jun 9, 2022Updated 3 years ago
- ☆90May 27, 2020Updated 5 years ago
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆148Aug 6, 2022Updated 3 years ago
- This is an implementation for paper "A Hybrid Approach to Privacy Preserving Federated Learning" (https://arxiv.org/pdf/1812.03224.pdf)☆24Jun 9, 2020Updated 5 years ago
- Code for the paper "ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models"☆85Nov 22, 2021Updated 4 years ago
- Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.☆59May 12, 2019Updated 6 years ago
- ☆29Dec 22, 2022Updated 3 years ago
- ☆31Mar 21, 2023Updated 2 years ago
- 隐私计算 Hackathon | Data Privacy Protect Hackathon website☆31Nov 7, 2023Updated 2 years ago