yashkant / model-inversion-attack
Implementation of the Model Inversion Attack introduced with Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures (Fredrikson Et al.)
☆81Updated last year
Related projects ⓘ
Alternatives and complementary repositories for model-inversion-attack
- Privacy Risks of Securing Machine Learning Models against Adversarial Examples☆44Updated 4 years ago
- Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)☆53Updated 5 years ago
- Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"☆38Updated 5 years ago
- Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models☆123Updated 7 months ago
- Code for ML Doctor☆86Updated 3 months ago
- A library for running membership inference attacks against ML models☆139Updated last year
- ☆45Updated 5 years ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆129Updated last year
- Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.☆56Updated last month
- Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.☆52Updated 5 years ago
- Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)☆187Updated 7 years ago
- Code for Machine Learning Models that Remember Too Much (in CCS 2017)☆30Updated 7 years ago
- Code for "Neural Network Inversion in Adversarial Setting via Background Knowledge Alignment" (CCS 2019)☆46Updated 4 years ago
- ☆63Updated 5 years ago
- Code for the paper: Label-Only Membership Inference Attacks☆64Updated 3 years ago
- Example of the attack described in the paper "Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization"☆21Updated 5 years ago
- Code for the paper "ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models"☆80Updated 2 years ago
- Implementation of membership inference and model inversion attacks, extracting training data information from an ML model. Benchmarking …☆99Updated 5 years ago
- ☆32Updated 2 months ago
- ☆39Updated 3 years ago
- ☆25Updated 5 years ago
- Python package to create adversarial agents for membership inference attacks againts machine learning models☆47Updated 5 years ago
- Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks (RAID 2018)☆46Updated 6 years ago
- ☆23Updated 2 years ago
- simple Differential Privacy in PyTorch☆48Updated 4 years ago
- Membership Inference Attacks and Defenses in Neural Network Pruning☆28Updated 2 years ago
- privacy preserving deep learning☆15Updated 7 years ago
- Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)☆46Updated 2 years ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆146Updated 2 years ago
- ☆44Updated 3 years ago