xiangyue9607 / DP-ForwardLinks
☆25Updated last year
Alternatives and similar repositories for DP-Forward
Users that are interested in DP-Forward are comparing it to the libraries listed below
Sorting:
- Official repo for the paper: Recovering Private Text in Federated Learning of Language Models (in NeurIPS 2022)☆61Updated 2 years ago
- ☆55Updated 2 years ago
- ☆78Updated 3 years ago
- ☆73Updated 3 years ago
- Federated Learning Framework Benchmark (UniFed)☆49Updated 2 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
- This repo implements several algorithms for learning with differential privacy.☆110Updated 3 years ago
- THU-AIR Vertical Federated Learning general, extensible and light-weight framework☆102Updated last year
- Privacy attacks on Split Learning☆43Updated 4 years ago
- [NeurIPS 2022] JAX/Haiku implementation of "On Privacy and Personalization in Cross-Silo Federated Learning"☆27Updated 2 years ago
- FLTracer: Accurate Poisoning Attack Provenance in Federated Learning☆24Updated last year
- ☆12Updated 2 years ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆57Updated 2 years ago
- ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341☆83Updated 2 years ago
- Code & supplementary material of the paper Label Inference Attacks Against Federated Learning on Usenix Security 2022.☆86Updated 2 years ago
- Papers related to federated learning in top conferences (2020-2024).☆69Updated last year
- The code for "Improved Deep Leakage from Gradients" (iDLG).☆165Updated 4 years ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆74Updated 4 years ago
- Private Adaptive Optimization with Side Information (ICML '22)☆16Updated 3 years ago
- [ICLR2024] "Backdoor Federated Learning by Poisoning Backdoor-Critical Layers"☆52Updated last year
- A pytorch implementation of the paper "Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage".☆62Updated 3 years ago
- Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)☆50Updated 3 years ago
- Code for ML Doctor☆92Updated last year
- Code Repo for paper Label Leakage and Protection in Two-party Split Learning (ICLR 2022).☆22Updated 3 years ago
- Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)☆56Updated 6 years ago
- ☆36Updated 4 years ago
- Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.☆60Updated 6 years ago
- A curated list of advancements in Vertical Federated Learning, frameworks and libraries.☆38Updated 6 months ago
- ☆65Updated 2 years ago
- ☆31Updated 5 years ago