privacytrustlab / datasetsLinks
Processed datasets that we have used in our research
☆14Updated 5 years ago
Alternatives and similar repositories for datasets
Users that are interested in datasets are comparing it to the libraries listed below
Sorting:
- ☆46Updated 6 years ago
- Code for the paper: Label-Only Membership Inference Attacks☆67Updated 4 years ago
- ☆32Updated last year
- Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.☆60Updated 6 years ago
- ☆32Updated 4 years ago
- Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models☆132Updated last year
- Code for the paper "ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models"☆85Updated 4 years ago
- Code for Auditing DPSGD☆37Updated 3 years ago
- Code for ML Doctor☆92Updated last year
- Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.☆66Updated last year
- A library for running membership inference attacks against ML models☆152Updated 3 years ago
- ☆22Updated 3 years ago
- Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)☆56Updated 6 years ago
- Code related to the paper "Machine Unlearning of Features and Labels"☆72Updated last year
- Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)☆50Updated 3 years ago
- Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)☆200Updated 8 years ago
- ☆369Updated 3 weeks ago
- Privacy Risks of Securing Machine Learning Models against Adversarial Examples☆46Updated 6 years ago
- Anti-Backdoor learning (NeurIPS 2021)☆83Updated 2 years ago
- Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"☆32Updated 3 years ago
- ☆15Updated 2 years ago
- A unified benchmark problem for data poisoning attacks☆161Updated 2 years ago
- ☆21Updated last year
- ☆80Updated 3 years ago
- A pytorch implementation of the paper "Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage".☆62Updated 3 years ago
- Code for AAAI 2021 Paper "Membership Privacy for Machine Learning Models Through Knowledge Transfer"☆11Updated 4 years ago
- Implementation of the Model Inversion Attack introduced with Model Inversion Attacks that Exploit Confidence Information and Basic Counte…☆85Updated 2 years ago
- Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks (ICLR '20)☆33Updated 5 years ago
- Code for "Neural Network Inversion in Adversarial Setting via Background Knowledge Alignment" (CCS 2019)☆48Updated 6 years ago
- Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)☆48Updated 3 years ago