ftramer / slalom
Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware
☆161Updated last year
Related projects ⓘ
Alternatives and complementary repositories for slalom
- Goten: GPU-Outsourcing Trusted Execution of Neural Network Training and Prediction☆31Updated 3 years ago
- A Cryptographic Inference Service for Neural Networks☆125Updated 3 months ago
- Deep Learning with Intel SGX☆21Updated 5 years ago
- Fast Privacy-Preserving Machine Learning on the GPU☆78Updated 3 years ago
- Query compiler for secure multi-party computation.☆98Updated 4 years ago
- Privacy -preserving Neural Networks☆75Updated 5 years ago
- tf-trusted allows you to run TensorFlow models in secure enclaves☆87Updated 4 years ago
- Repository for the SoK paper on Fully Homomorphic Encryption (FHE) compilers.☆74Updated last year
- Implementation of protocols in SecureNN.☆124Updated 2 years ago
- Piranha: A GPU Platform for Secure Computation☆92Updated last year
- A curated list of SGX code and resources.☆236Updated 5 months ago
- ☆23Updated last month
- SQLite database inside a secure Intel SGX enclave (Linux)☆60Updated 6 years ago
- Library for performing Function Secret Sharing (FSS)☆85Updated 6 years ago
- Homomorphic matrix computation☆40Updated 5 years ago
- ☆19Updated 4 years ago
- runs several layers of a deep learning model in TrustZone☆85Updated 3 months ago
- Some algorithms for computation on encrypted data based on Microsoft SEAL☆27Updated 4 years ago
- Function Secret Sharing library for Python and Rust with hardware acceleration☆54Updated last year
- ☆65Updated 6 years ago
- ☆104Updated 2 years ago
- Implementation of protocols in Falcon☆89Updated 3 months ago
- A unified testbed for evaluating different Oblivious RAM☆59Updated last year
- ☆26Updated last year
- TinyGarble: Logic Synthesis and Sequential Descriptions for Yao's Garbled Circuits☆120Updated last year
- SGX Tutorial at CCS17: SGX Security and Privacy☆84Updated 7 years ago
- Semi-honest Two Party Computation Based on Garbled Circuits.☆76Updated 2 years ago
- nGraph-HE: Deep learning with Homomorphic Encryption (HE) through Intel nGraph☆172Updated last year
- SecMML (Queqiao): Secure MPC (multi-party computation) Machine Learning Framework.☆111Updated last year