ziqi-zhang / TAOISMLinks
TAOISM: A TEE-based Confidential Heterogeneous Deployment Framework for DNN Models
☆39Updated last year
Alternatives and similar repositories for TAOISM
Users that are interested in TAOISM are comparing it to the libraries listed below
Sorting:
- ☆33Updated 2 months ago
- icml24☆10Updated 4 months ago
- ☆27Updated last year
- Goten: GPU-Outsourcing Trusted Execution of Neural Network Training and Prediction☆33Updated 4 years ago
- ☆27Updated 2 years ago
- ☆35Updated 2 years ago
- ☆32Updated 2 years ago
- Privacy-preserving Federated Learning with Trusted Execution Environments☆68Updated 2 years ago
- ☆14Updated 3 years ago
- runs several layers of a deep learning model in TrustZone☆91Updated 10 months ago
- ☆31Updated 2 years ago
- Implementation of the Reusable Enclaves paper☆14Updated last year
- ☆18Updated 2 years ago
- ☆7Updated 4 years ago
- ☆10Updated last year
- Open-source code and data for ShadowNet(S&P Oakland'23)☆10Updated last year
- Proof of Being Fogotten (PoBF) and PoBF-Compliant Framework (PoCF) prototypes.☆20Updated last year
- A Compiler-based System for Secure Memory Instrumentation and Execution in Enclaves☆28Updated 4 years ago
- ☆22Updated last year
- ☆22Updated 3 months ago
- Statistics of acceptance rate for the top conferences: Oakland, CCS, USENIX Security, NDSS.☆153Updated 3 months ago
- ☆19Updated 6 months ago
- Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware☆166Updated 2 years ago
- ☆19Updated 4 years ago
- Jinzhao Attest provides unified attestation workflow for TEE compatibility, usability and security.☆34Updated last year
- Deep Learning with Intel SGX☆22Updated 6 years ago
- Fast Privacy-Preserving Machine Learning on the GPU☆84Updated 4 years ago
- Protecting Accelerator Execution with Arm Confidential Computing Architecture (USENIX Security 2024)☆26Updated last year
- Trusted I/O Paths for SGX Enclaves☆16Updated 5 years ago
- COIN Attacks: on Insecurity of Enclave Untrusted Interfaces in SGX - ASPLOS 2020☆25Updated 2 years ago