csong27 / ml-model-remember
Code for Machine Learning Models that Remember Too Much (in CCS 2017)
☆30Updated 7 years ago
Alternatives and similar repositories for ml-model-remember:
Users that are interested in ml-model-remember are comparing it to the libraries listed below
- Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)☆53Updated 5 years ago
- Privacy Risks of Securing Machine Learning Models against Adversarial Examples☆44Updated 5 years ago
- ☆45Updated 5 years ago
- Implementation of the Model Inversion Attack introduced with Model Inversion Attacks that Exploit Confidence Information and Basic Counte…☆82Updated last year
- Code for the paper "ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models"☆82Updated 3 years ago
- Code for the paper: Label-Only Membership Inference Attacks☆64Updated 3 years ago
- Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"☆38Updated 6 years ago
- Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks (RAID 2018)☆46Updated 6 years ago
- Code for "Neural Network Inversion in Adversarial Setting via Background Knowledge Alignment" (CCS 2019)☆46Updated 5 years ago
- Example of the attack described in the paper "Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization"☆21Updated 5 years ago
- ABS: Scanning Neural Networks for Back-doors by Artificial Brain Stimulation☆49Updated 2 years ago
- ☆26Updated 6 years ago
- ☆31Updated 5 months ago
- Membership Inference Attacks and Defenses in Neural Network Pruning☆28Updated 2 years ago
- ☆23Updated 2 years ago
- Attacking a dog vs fish classification that uses transfer learning inceptionV3☆70Updated 6 years ago
- Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks (ICLR '20)☆29Updated 4 years ago
- Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"☆30Updated 2 years ago
- ☆64Updated 5 years ago
- Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.☆58Updated 5 years ago
- simple Differential Privacy in PyTorch☆48Updated 4 years ago
- Code for ML Doctor☆85Updated 6 months ago
- ☆68Updated 2 years ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆130Updated 2 years ago
- Code for the IEEE S&P 2018 paper 'Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning'☆53Updated 3 years ago
- Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.☆58Updated 4 months ago
- An implementation for the paper "A Little Is Enough: Circumventing Defenses For Distributed Learning" (NeurIPS 2019)☆26Updated last year
- Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models☆125Updated 10 months ago
- Implementation of Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning paper☆20Updated 4 years ago
- Membership inference against Federated learning.☆9Updated 3 years ago