inspire-group / unlearning-verification
verifying machine unlearning by backdooring
☆20Updated last year
Alternatives and similar repositories for unlearning-verification:
Users that are interested in unlearning-verification are comparing it to the libraries listed below
- Code for the paper: Label-Only Membership Inference Attacks☆64Updated 3 years ago
- ☆19Updated 5 months ago
- KNN Defense Against Clean Label Poisoning Attacks☆12Updated 3 years ago
- RAB: Provable Robustness Against Backdoor Attacks☆39Updated last year
- ☆31Updated 5 months ago
- ☆20Updated last year
- Membership Inference Attacks and Defenses in Neural Network Pruning☆28Updated 2 years ago
- ☆10Updated 4 years ago
- ☆45Updated 5 years ago
- Official code repository for our accepted work "Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning" in NeurI…☆22Updated 4 months ago
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆30Updated 2 years ago
- [CCS 2021] "DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation" by Boxin Wang*, Fan Wu*, Yunhui Long…☆37Updated 3 years ago
- ☆23Updated 3 years ago
- Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)☆48Updated 2 years ago
- Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)☆53Updated 5 years ago
- [ICLR 2023, Best Paper Award at ECCV’22 AROW Workshop] FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning☆52Updated 2 months ago
- ☆23Updated 2 years ago
- [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning☆32Updated 2 years ago
- Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)☆46Updated 2 years ago
- ☆24Updated 3 years ago
- Membership inference against Federated learning.☆9Updated 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
- The source code for ICML2021 paper When Does Data Augmentation Help With Membership Inference Attacks?☆8Updated 3 years ago
- Code for the paper "Deep Partition Aggregation: Provable Defenses against General Poisoning Attacks"☆12Updated 2 years ago
- Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks (RAID 2018)☆47Updated 6 years ago
- ☆24Updated 2 years ago
- Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks (ICLR '20)☆29Updated 4 years ago
- Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"☆38Updated 6 years ago
- ☆12Updated last year
- ☆31Updated 4 years ago