csong27 / property-inference-collaborative-ml
Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)
☆53Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for property-inference-collaborative-ml
- ☆45Updated 5 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
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆71Updated 3 years ago
- ☆53Updated last year
- ☆39Updated 3 years ago
- ☆31Updated 4 years ago
- Privacy attacks on Split Learning☆37Updated 3 years ago
- ☆27Updated last year
- ☆65Updated 2 years ago
- The code for "Improved Deep Leakage from Gradients" (iDLG).☆144Updated 3 years ago
- Learning from history for Byzantine Robustness☆21Updated 3 years ago
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆30Updated 2 years ago
- Code for ML Doctor☆86Updated 3 months ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆55Updated last year
- ☆13Updated last year
- ☆34Updated 2 years ago
- This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.☆43Updated last year
- Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"☆38Updated 5 years ago
- [CCS 2021] "DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation" by Boxin Wang*, Fan Wu*, Yunhui Long…☆37Updated 2 years ago
- ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341☆63Updated last year
- Privacy Risks of Securing Machine Learning Models against Adversarial Examples☆44Updated 4 years ago
- simple Differential Privacy in PyTorch☆48Updated 4 years ago
- ☆38Updated 3 years ago
- Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.☆52Updated 5 years ago
- Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.☆56Updated last month
- An implementation for the paper "A Little Is Enough: Circumventing Defenses For Distributed Learning" (NeurIPS 2019)☆26Updated last year
- Code for the paper "ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models"☆80Updated 2 years ago
- Robust aggregation for federated learning with the RFA algorithm.☆45Updated 2 years ago
- Implementation of the Model Inversion Attack introduced with Model Inversion Attacks that Exploit Confidence Information and Basic Counte…☆81Updated last year