cleverhans-lab / verifiable-unlearning
☆15Updated last year
Related projects ⓘ
Alternatives and complementary repositories for verifiable-unlearning
- ☆53Updated last year
- Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)☆53Updated 5 years ago
- ☆27Updated last year
- Eluding Secure Aggregation in Federated Learning via Model Inconsistency☆12Updated last year
- [CCS 2021] "DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation" by Boxin Wang*, Fan Wu*, Yunhui Long…☆37Updated 2 years ago
- ☆45Updated 5 years ago
- ☆34Updated 2 years ago
- Learning from history for Byzantine Robustness☆21Updated 3 years ago
- verifying machine unlearning by backdooring☆18Updated last year
- Implementation of calibration bounds for differential privacy in the shuffle model☆23Updated 4 years ago
- ☆36Updated last year
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆71Updated 3 years ago
- Github Repo for AAAI 2023 paper: On the Vulnerability of Backdoor Defenses for Federated Learning☆33Updated last year
- An implementation for the paper "A Little Is Enough: Circumventing Defenses For Distributed Learning" (NeurIPS 2019)☆26Updated last year
- Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)☆46Updated 2 years ago
- Distributed Momentum for Byzantine-resilient Stochastic Gradient Descent (ICLR 2021)☆20Updated 3 years ago
- ☆13Updated last year
- ☆23Updated 3 years ago
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆30Updated 2 years ago
- ☆11Updated last year
- Privacy attacks on Split Learning☆37Updated 3 years ago
- Pytorch implementation of backdoor unlearning.☆16Updated 2 years ago
- ☆65Updated 2 years ago
- Membership inference against Federated learning.☆8Updated 3 years ago
- Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization☆9Updated 3 years ago
- This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.☆43Updated last year
- Official code repository for our accepted work "Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning" in NeurI…☆22Updated last month
- ☆14Updated 10 months ago
- ☆38Updated 3 years ago