gaow0007 / ATSPrivacyLinks
AutoML, Privacy Preserving, Federated Learning
☆26Updated 2 years ago
Alternatives and similar repositories for ATSPrivacy
Users that are interested in ATSPrivacy are comparing it to the libraries listed below
Sorting:
- Code for the paper: Label-Only Membership Inference Attacks☆67Updated 4 years ago
- Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)☆56Updated 6 years ago
- R-GAP: Recursive Gradient Attack on Privacy [Accepted at ICLR 2021]☆37Updated 2 years ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆74Updated 4 years ago
- ☆31Updated 5 years ago
- ☆32Updated last year
- verifying machine unlearning by backdooring☆20Updated 2 years ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆57Updated 2 years ago
- ☆51Updated 4 years ago
- [CCS 2021] "DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation" by Boxin Wang*, Fan Wu*, Yunhui Long…☆36Updated 4 years ago
- A pytorch implementation of the paper "Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage".☆62Updated 3 years ago
- Code for ML Doctor☆92Updated last year
- ☆15Updated 2 years ago
- ☆24Updated 3 years ago
- ☆55Updated 2 years ago
- The code for "Improved Deep Leakage from Gradients" (iDLG).☆165Updated 4 years ago
- DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)☆202Updated 4 years ago
- ☆73Updated 3 years ago
- ☆36Updated 4 years ago
- ☆46Updated 6 years ago
- Privacy attacks on Split Learning☆43Updated 4 years ago
- ☆28Updated 2 years ago
- [NeurIPS 2022] JAX/Haiku implementation of "On Privacy and Personalization in Cross-Silo Federated Learning"☆27Updated 2 years ago
- Privacy Risks of Securing Machine Learning Models against Adversarial Examples☆46Updated 6 years ago
- ☆19Updated 2 years ago
- Membership Inference Attacks and Defenses in Neural Network Pruning☆28Updated 3 years ago
- ☆28Updated 2 years ago
- ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341☆82Updated 2 years ago
- Code for Auditing DPSGD☆37Updated 3 years ago
- Official code repository for our accepted work "Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning" in NeurI…☆25Updated last year