TTitcombe / Model-Inversion-SplitNNLinks
Research into model inversion on SplitNN
☆14Updated last year
Alternatives and similar repositories for Model-Inversion-SplitNN
Users that are interested in Model-Inversion-SplitNN are comparing it to the libraries listed below
Sorting:
- Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)☆53Updated 6 years ago
- Privacy attacks on Split Learning☆42Updated 3 years ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆56Updated 2 years ago
- ☆45Updated 3 years ago
- reveal the vulnerabilities of SplitNN☆31Updated 2 years ago
- Distributed Momentum for Byzantine-resilient Stochastic Gradient Descent (ICLR 2021)☆22Updated 4 years ago
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆34Updated 2 years ago
- paper code☆27Updated 4 years ago
- Code for Horizontal Federated Learning blog around Credit Scoring☆10Updated 4 years ago
- Membership inference against Federated learning.☆9Updated 4 years ago
- PyTorch implementation of NoPeekNN☆16Updated 4 years ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆72Updated 3 years ago
- ☆30Updated 5 years ago
- The code for "Improved Deep Leakage from Gradients" (iDLG).☆151Updated 4 years ago
- ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341☆73Updated 2 years ago
- Official Repository for ResSFL (accepted by CVPR '22)☆21Updated 2 years ago
- ☆69Updated 3 years ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆150Updated 2 years ago
- Adversarial attacks and defenses against federated learning.☆17Updated 2 years ago
- ☆10Updated 3 years ago
- ☆54Updated 3 years ago
- ☆13Updated 3 years ago
- ☆14Updated last year
- ☆37Updated 3 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
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆83Updated 2 years ago
- Code for AAAI 2021 Paper "Membership Privacy for Machine Learning Models Through Knowledge Transfer"☆11Updated 4 years ago
- Implementation of BapFL: You can Backdoor Attack Personalized Federated Learning☆13Updated last year
- The code of the attack scheme in the paper "Backdoor Attack Against Split Neural Network-Based Vertical Federated Learning"☆19Updated last year
- Code for the paper "ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models"☆85Updated 3 years ago