privacytrustlab / datasets
Processed datasets that we have used in our research
☆14Updated 4 years ago
Alternatives and similar repositories for datasets:
Users that are interested in datasets are comparing it to the libraries listed below
- ☆45Updated 5 years ago
- Code for the paper: Label-Only Membership Inference Attacks☆64Updated 3 years ago
- ☆20Updated last year
- Code for Auditing DPSGD☆37Updated 3 years ago
- verifying machine unlearning by backdooring☆20Updated last year
- Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"☆30Updated 2 years ago
- The source code for ICML2021 paper When Does Data Augmentation Help With Membership Inference Attacks?☆8Updated 3 years ago
- Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)☆48Updated 2 years ago
- ☆19Updated 5 months ago
- Membership Inference Attacks and Defenses in Neural Network Pruning☆28Updated 2 years ago
- ☆23Updated 3 years ago
- Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)☆46Updated 2 years ago
- ☆25Updated 3 years ago
- Public implementation of the paper "On the Importance of Difficulty Calibration in Membership Inference Attacks".☆16Updated 3 years ago
- ☆31Updated 5 months ago
- [CCS 2021] "DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation" by Boxin Wang*, Fan Wu*, Yunhui Long…☆37Updated 3 years ago
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆30Updated 2 years ago
- ☆68Updated 2 years ago
- Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"☆38Updated 6 years ago
- A repo to download and preprocess the Purchase100 dataset extracted from Kaggle: Acquire Valued Shoppers Challenge☆12Updated 3 years ago
- ☆14Updated last year
- ☆41Updated last year
- Pytorch implementation of backdoor unlearning.☆17Updated 2 years ago
- ☆13Updated last year
- Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.☆58Updated 5 years ago
- Camouflage poisoning via machine unlearning☆16Updated 2 years ago
- Learning from history for Byzantine Robustness☆22Updated 3 years ago
- Code for ML Doctor☆86Updated 6 months ago
- ☆23Updated 2 years ago
- Code for AAAI 2021 Paper "Membership Privacy for Machine Learning Models Through Knowledge Transfer"☆11Updated 3 years ago