Alternatives and similar repositories for ShadowNet

Users that are interested in ShadowNet are comparing it to the libraries listed below

• ziqi-zhang / TEESlice-artifact
  ☆39Updated 6 months ago
• ZzzzMe / GroupCover
  icml24
  ☆11Updated 7 months ago
• PKU-SEC-Lab / mpcvit
  Code release for MPCViT accepted by ICCV 2023
  ☆16Updated 9 months ago
• goten-team / Goten
  Goten: GPU-Outsourcing Trusted Execution of Neural Network Training and Prediction
  ☆34Updated 4 years ago
• hku-systems / SOTER
  ☆27Updated last year
• mofanv / darknetz
  runs several layers of a deep learning model in TrustZone
  ☆91Updated last year
• D1aoBoomm / TSQP
  TSQP: Safeguarding Real-Time Inference for Quantization Neural Networks on Edge Devices (Accepted to S&P 2025)
  ☆16Updated 3 weeks ago
• mofanv / PPFL
  Privacy-preserving Federated Learning with Trusted Execution Environments
  ☆72Updated 3 months ago
• ziqi-zhang / TAOISM
  TAOISM: A TEE-based Confidential Heterogeneous Deployment Framework for DNN Models
  ☆45Updated last year
• jeffreysijuntan / CryptGPU
  Fast Privacy-Preserving Machine Learning on the GPU
  ☆87Updated 4 years ago
• xingpz2008 / Iron
  Private Inference on Transformer
  ☆29Updated 2 years ago
• ftramer / slalom
  Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware
  ☆166Updated 2 years ago
• FudanMPL / Garnet
  FudanMPL 2.0, a series of multi-party learning frameworks, with rich features, including secure and fast XGBoost, secure Fine-tuning for …
  ☆52Updated this week
• K-miran / HEAR
  ☆33Updated 3 years ago
• xingpz2008 / TriFSS
  Efficient Secure Computation Protocols for Trigonometric Functions via Function Secret Sharing
  ☆20Updated 2 years ago
• PKU-SEC-Lab / Awesome-PPML-Papers
  This repo summarizes papers for efficient PPML across protocol, model, and system levels.
  ☆44Updated last month
• AntCPLab / OpenBumbleBee
  The repo of "BumbleBee: Secure Two-party Inference Framework for Large Transformers" (NDSS 2025)
  ☆46Updated 8 months ago
• SamuelGong / FLASHE
  [arXiv'21] Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning
  ☆22Updated 5 months ago
• ucbrise / piranha
  Piranha: A GPU Platform for Secure Computation
  ☆100Updated 2 years ago
• Clive2312 / BOLT
  Privacy-Preserving, Accurate and Efficient Inference for Transformers
  ☆29Updated last year
• Ye-D / PaperNotes-MPC
  Paper Notes in MPC with Applications to PPML
  ☆71Updated last year
• puzhuoliu / Computer-Security-Conference-Acceptance-Rate
  Statistics of acceptance rate for the top conferences: Oakland, CCS, USENIX Security, NDSS.
  ☆181Updated last month
• shreya-28 / Secure-ML
  Secure Linear Regression in the Semi-Honest Two-Party Setting.
  ☆37Updated 6 years ago
• andeskyl / SHAFT
  A framework for secure, handy, accurate, and fast transformer inference
  ☆18Updated last month
• Fannxy / NFGen
  NFGen: Automatic Non-Linear Function Evaluation Code Generator for General-purpose MPC Platforms
  ☆20Updated 2 months ago
• FumiyukiKato / FL-TEE
  OLIVE: Oblivious and Differentially Private Federated Learning on TEE
  ☆16Updated 2 years ago
• privateLLM001 / Private-LLM-Inference
  ☆15Updated 2 years ago
• FuChong-cyber / label-inference-attacks
  Code & supplementary material of the paper Label Inference Attacks Against Federated Learning on Usenix Security 2022.
  ☆83Updated 2 years ago
• NemoYuan2008 / MD-ML
  Code repository for the paper at USENIX Security'24
  ☆32Updated last year
• sunblaze-ucb / privguard-artifact
  Artifact of PrivAnalyzer as described in the Usenix 2022 paper "PrivGuard: Privacy Regulation Compliance Made Easier"
  ☆13Updated 3 years ago