csong27 / property-inference-collaborative-ml
Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)
☆53Updated 5 years ago
Alternatives and similar repositories for property-inference-collaborative-ml:
Users that are interested in property-inference-collaborative-ml are comparing it to the libraries listed below
- ☆31Updated 4 years ago
- Distributed Momentum for Byzantine-resilient Stochastic Gradient Descent (ICLR 2021)☆20Updated 3 years ago
- Code for the paper: Label-Only Membership Inference Attacks☆64Updated 3 years ago
- [CCS 2021] "DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation" by Boxin Wang*, Fan Wu*, Yunhui Long…☆37Updated 3 years ago
- ☆41Updated 3 years ago
- ☆45Updated 5 years ago
- Learning from history for Byzantine Robustness☆22Updated 3 years ago
- Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"☆38Updated 6 years ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆71Updated 3 years ago
- This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.☆43Updated last year
- Privacy attacks on Split Learning☆37Updated 3 years ago
- ☆54Updated last year
- ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341☆67Updated last year
- Implementation of the Model Inversion Attack introduced with Model Inversion Attacks that Exploit Confidence Information and Basic Counte…☆82Updated last year
- The code for "Improved Deep Leakage from Gradients" (iDLG).☆146Updated 3 years ago
- ☆67Updated 2 years ago
- ☆14Updated last year
- Code for Machine Learning Models that Remember Too Much (in CCS 2017)☆30Updated 7 years ago
- ☆13Updated last year
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆55Updated last year
- Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"☆30Updated 2 years ago
- This is a simple backdoor model for federated learning.We use MNIST as the original data set for data attack and we use CIFAR-10 data set…☆14Updated 4 years ago
- Code for ML Doctor☆85Updated 5 months ago
- Code for the paper "ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models"☆82Updated 3 years ago
- ☆34Updated 3 years ago
- ☆38Updated 3 years ago
- ☆28Updated last year
- simple Differential Privacy in PyTorch☆48Updated 4 years ago
- Robust aggregation for federated learning with the RFA algorithm.☆47Updated 2 years ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆130Updated 2 years ago