ziqi-zhang / TAOISM
TAOISM: A TEE-based Confidential Heterogeneous Deployment Framework for DNN Models
☆33Updated 10 months ago
Alternatives and similar repositories for TAOISM:
Users that are interested in TAOISM are comparing it to the libraries listed below
- ☆28Updated 4 months ago
- ☆25Updated last year
- ☆27Updated last year
- ☆32Updated last year
- Goten: GPU-Outsourcing Trusted Execution of Neural Network Training and Prediction☆31Updated 4 years ago
- ☆31Updated 2 years ago
- ☆22Updated last year
- ☆14Updated 3 years ago
- A Compiler-based System for Secure Memory Instrumentation and Execution in Enclaves☆28Updated 3 years ago
- ☆30Updated 2 years ago
- This repository contains the evaluation code for the NDSS 2024 paper: MPCDIFF: Testing and Repairing MPC-Hardened Deep Learning Models.☆14Updated last year
- Privacy-preserving Federated Learning with Trusted Execution Environments☆64Updated last year
- runs several layers of a deep learning model in TrustZone☆88Updated 6 months ago
- Deep Learning with Intel SGX☆21Updated 6 years ago
- Statistics of acceptance rate for the top conferences: Oakland, CCS, USENIX Security, NDSS.☆129Updated 3 months ago
- Fast Privacy-Preserving Machine Learning on the GPU☆80Updated 3 years ago
- Trusted I/O Paths for SGX Enclaves☆16Updated 4 years ago
- The implementation of the 'vSGX: Virtualizing SGX Enclaves on AMD SEV' paper☆51Updated last year
- CIPHERH: Automated Detection of Ciphertext Side-channel Vulnerabilities in Cryptographic Implementations☆13Updated last year
- COIN Attacks: on Insecurity of Enclave Untrusted Interfaces in SGX - ASPLOS 2020☆25Updated 2 years ago
- ☆50Updated 4 years ago
- ☆29Updated 2 months ago
- ☆16Updated 3 years ago
- Implementation of the Reusable Enclaves paper☆12Updated last year
- Practical and Efficient in-TEE Verification of Privacy Compliance☆46Updated last month
- A privacy-preserving computing system based on TEE.☆18Updated last month
- ☆7Updated 3 years ago
- Proof of Being Fogotten (PoBF) and PoBF-Compliant Framework (PoCF) prototypes.☆20Updated last year
- Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware☆163Updated last year
- ☆19Updated 4 years ago