AhmedSalem2 / ML-LeaksLinks
Code for the paper "ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models"
☆85Updated 3 years ago
Alternatives and similar repositories for ML-Leaks
Users that are interested in ML-Leaks are comparing it to the libraries listed below
Sorting:
- ☆45Updated 6 years ago
- Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)☆201Updated 8 years ago
- Code for ML Doctor☆91Updated last year
- Code for the paper: Label-Only Membership Inference Attacks☆66Updated 4 years ago
- Implementation of the Model Inversion Attack introduced with Model Inversion Attacks that Exploit Confidence Information and Basic Counte…☆84Updated 2 years ago
- ☆22Updated 3 years ago
- Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models☆129Updated last year
- Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.☆60Updated 6 years ago
- Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)☆54Updated 6 years ago
- Code for "Neural Network Inversion in Adversarial Setting via Background Knowledge Alignment" (CCS 2019)☆48Updated 5 years ago
- Official Repository for the AAAI-20 paper "Hidden Trigger Backdoor Attacks"☆132Updated 2 years ago
- Privacy Risks of Securing Machine Learning Models against Adversarial Examples☆45Updated 5 years ago
- Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks (RAID 2018)☆48Updated 7 years ago
- ABS: Scanning Neural Networks for Back-doors by Artificial Brain Stimulation☆51Updated 3 years ago
- Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)☆49Updated 3 years ago
- ☆32Updated 4 years ago
- This is an implementation demo of the ICLR 2021 paper [Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks…☆124Updated 3 years ago
- ☆66Updated 6 years ago
- A library for running membership inference attacks against ML models☆152Updated 2 years ago
- Code & supplementary material of the paper Label Inference Attacks Against Federated Learning on Usenix Security 2022.☆85Updated 2 years ago
- CVPR 2021 Official repository for the Data-Free Model Extraction paper. https://arxiv.org/abs/2011.14779☆75Updated last year
- Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.☆65Updated last year
- ☆70Updated 3 years ago
- Code for Machine Learning Models that Remember Too Much (in CCS 2017)☆31Updated 8 years ago
- DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)☆199Updated 4 years ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆135Updated 2 years ago
- Input Purification Defense Against Trojan Attacks on Deep Neural Network Systems☆28Updated 4 years ago
- ☆32Updated last year
- Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks (ICLR '20)☆32Updated 5 years ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆151Updated 3 years ago