cleverhans-lab / Proof-of-Learning
☆46Updated 3 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
- ☆33Updated last year
- ☆16Updated 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
- A secure aggregation system for private federated learning☆39Updated 10 months ago
- 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。☆13Updated last year
- ☆72Updated 2 months ago
- Secure Aggregation for FL☆34Updated last year
- Practical Privacy-Preserving K-means Clustering (PETS-2020)☆33Updated 3 years ago
- Secure Aggregation for Federated Learning with Malicious Actors☆24Updated 2 years ago
- A tiny, educational library for secure multi-party computation (in pure Python).☆89Updated 2 years ago
- Fast Privacy-Preserving Machine Learning on the GPU☆82Updated 3 years ago
- Awesome list for cryptographic secure computation paper. This repo includes *Lattice*, *DifferentialPrivacy*, *MPC* and also a comprehens…☆210Updated 3 months ago
- ☆21Updated 2 years ago
- ☆80Updated 2 years ago
- [NeurIPS 2022] JAX/Haiku implementation of "On Privacy and Personalization in Cross-Silo Federated Learning"☆26Updated last year
- ☆83Updated 4 years ago
- Privacy preserving vertical federated learning for tree-based models☆26Updated 3 years ago
- A Cryptographic Inference Service for Neural Networks☆129Updated 8 months ago
- ☆12Updated last year
- Efficient and Interactive Zero-Knowledge Proofs☆87Updated last year
- A GKR-based zero-knowledge proof protocol for CNN model inference.☆77Updated 2 years ago
- The repo of "Efficient 3PC for Binary Circuits with Application to Maliciously-Secure DNN Inference"☆21Updated last year
- Low-Interaction Privacy-Preserving Deep Learning via Function Secret Sharing☆51Updated 3 years ago
- Privacy attacks on Split Learning☆38Updated 3 years ago
- Secure Linear Regression in the Semi-Honest Two-Party Setting.☆39Updated 5 years ago
- Byzantine-resilient distributed SGD with TensorFlow.☆40Updated 4 years ago
- Code for Auditing DPSGD☆37Updated 3 years ago
- Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)☆53Updated 5 years ago
- (ICLR 2023 Spotlight) MPCFormer: fast, performant, and private transformer inference with MPC☆93Updated last year