cleverhans-lab / Proof-of-LearningLinks
☆47Updated 4 years ago
Alternatives and similar repositories for Proof-of-Learning
Users that are interested in Proof-of-Learning are comparing it to the libraries listed below
Sorting:
- ☆34Updated 2 years ago
- ☆21Updated 2 years ago
- CaPC is a method that enables collaborating parties to improve their own local heterogeneous machine learning models in a setting where b …☆26Updated 3 years ago
- ☆28Updated 2 years ago
- Byzantine-resilient distributed SGD with TensorFlow.☆40Updated 4 years ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆135Updated 2 years ago
- [NeurIPS 2022] JAX/Haiku implementation of "On Privacy and Personalization in Cross-Silo Federated Learning"☆27Updated 2 years ago
- ☆80Updated 3 years ago
- Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)☆54Updated 6 years ago
- ☆55Updated 4 years ago
- ☆89Updated 5 years ago
- Fast Privacy-Preserving Machine Learning on the GPU☆88Updated 4 years ago
- Secure Aggregation for FL☆35Updated last year
- Secure Aggregation for Federated Learning with Malicious Actors☆26Updated 2 years ago
- A secure aggregation system for private federated learning☆45Updated last year
- 该项目实现了隐私保护和可验证的卷积神经网络（CNN）测试，旨在使模型开发者能够在多个测试者提供的非公开数据上向用户证明CNN性能的真实性，同时保护模型和数据的隐私。☆15Updated 2 years ago
- Materials about Privacy-Preserving Machine Learning☆260Updated 2 months ago
- Private and Reliable Neural Network Inference (CCS '22)☆22Updated 2 years ago
- (ICLR 2023 Spotlight) MPCFormer: fast, performant, and private transformer inference with MPC☆102Updated 2 years ago
- Privacy attacks on Split Learning☆42Updated 4 years ago
- Low-Interaction Privacy-Preserving Deep Learning via Function Secret Sharing☆51Updated 4 years ago
- Intel Paillier Cryptosystem Library is an open-source library which provides accelerated performance of a partial homomorphic encryption …☆56Updated 4 months ago
- SecMML (Queqiao): Secure MPC (multi-party computation) Machine Learning Framework.☆113Updated 2 years ago
- ☆55Updated 2 years ago
- Learning from history for Byzantine Robustness☆25Updated 4 years ago
- A Simulator for Privacy Preserving Federated Learning☆96Updated 4 years ago
- Source code for MLSys 2022 submission "LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning"☆24Updated 4 years ago
- Code for Auditing DPSGD☆37Updated 3 years ago
- Privacy preserving vertical federated learning for tree-based models☆30Updated 4 years ago
- [CCS 2021] "DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation" by Boxin Wang*, Fan Wu*, Yunhui Long…☆38Updated 3 years ago