Alternatives and similar repositories for privguard-artifact:

Users that are interested in privguard-artifact are comparing it to the libraries listed below

• FudanMPL / Awesome-MPL
  Repository for collection of research papers on multi-party learning.
  ☆32Updated last year
• eniac / flamingo
  A secure aggregation system for private federated learning
  ☆38Updated 8 months ago
• dp-cont / dp-cont
  ☆14Updated 2 years ago
• jeffreysijuntan / CryptGPU
  Fast Privacy-Preserving Machine Learning on the GPU
  ☆79Updated 3 years ago
• puzhuoliu / Computer-Security-Conference-Acceptance-Rate
  Statistics of acceptance rate for the top conferences: Oakland, CCS, USENIX Security, NDSS.
  ☆129Updated 3 months ago
• SamuelGong / FLASHE
  [arXiv'21] Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning
  ☆21Updated last year
• FudanMPL / Garnet
  FudanMPL 2.0, a series of multi-party learning frameworks, with rich features, including secure and fast XGBoost, secure Fine-tuning for …
  ☆47Updated 2 weeks ago
• NemoYuan2008 / MD-ML
  Code repository for the paper at USENIX Security'24
  ☆25Updated 5 months ago
• TRUST-TUDa / SAFELearn
  Secure Aggregation for FL
  ☆34Updated last year
• mofanv / PPFL
  Privacy-preserving Federated Learning with Trusted Execution Environments
  ☆64Updated last year
• pps-lab / rofl-project-code
  ☆32Updated last year
• marcoszh / BatchCrypt
  ☆80Updated 4 years ago
• ammartahir24 / SecureAggregation
  An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…
  ☆83Updated 5 years ago
• bargavj / EvaluatingDPML
  This project's goal is to evaluate the privacy leakage of differentially private machine learning models.
  ☆130Updated 2 years ago
• Ye-D / PPML-Resource
  Materials about Privacy-Preserving Machine Learning
  ☆234Updated last week
• shreya-28 / Secure-ML
  Secure Linear Regression in the Semi-Honest Two-Party Setting.
  ☆39Updated 5 years ago
• BorjaBalle / amplification-by-shuffling
  Implementation of calibration bounds for differential privacy in the shuffle model
  ☆23Updated 4 years ago
• s2labres / transcendent-release
  ☆18Updated last year
• simon-oya / NDSS21-osse-evaluation
  Code to run the evaluation of our "Obfuscated Access and Search Patterns in Searchable Encryption", NDSS'21
  ☆11Updated 4 years ago
• ucbsky / elsa
  Secure Aggregation for Federated Learning with Malicious Actors
  ☆24Updated 2 years ago
• Fannxy / NFGen
  NFGen: Automatic Non-Linear Function Evaluation Code Generator for General-purpose MPC Platforms
  ☆19Updated 11 months ago
• FudanMPL / pMPL
  pMPL: A Robust Multi-Party Learning Framework with a Privileged Party. This project is connected with the publication @ ACM CCS 2022.
  ☆17Updated 5 months ago
• Ye-D / PaperNotes-MPC
  Paper Notes in MPC with Applications to PPML
  ☆64Updated 10 months ago
• AISIGSJTU / Siren
  Siren: Byzantine-robust Federated Learning via Proactive Alarming (SoCC '21)
  ☆11Updated 10 months ago
• FumiyukiKato / FL-TEE
  OLIVE: Oblivious and Differentially Private Federated Learning on TEE
  ☆15Updated last year
• Chen-Junbao / SecureAggregation
  personal implementation of secure aggregation protocol
  ☆44Updated 11 months ago
• corentingiraud / federated-learning-secure-aggregation
  A simple Python implementation of a secure aggregation protocole for federated learning.
  ☆34Updated last year
• csl-cqu / awesome-secure-federated-learning-papers
  ☆29Updated last year
• pps-lab / fl-analysis
  ☆28Updated last year
• martstr / mp-spdz-tutorial
  Our first MPC program (aka: MP-SPDZ by a dummy)
  ☆12Updated last year