BUAA-BDA / PrivacyComputing-PaperListLinks
This is a recommended paper list for the course of Privacy Computing.
☆11Updated last year
Alternatives and similar repositories for PrivacyComputing-PaperList
Users that are interested in PrivacyComputing-PaperList are comparing it to the libraries listed below
Sorting:
- ☆21Updated last year
- Sample LDP implementation in Python☆129Updated 2 years ago
- Utility-aware synthesis of differentially private and attack-resilient location traces☆24Updated 6 years ago
- Local Differential Privacy for Federated Learning☆17Updated 2 years ago
- Code & supplementary material of the paper Label Inference Attacks Against Federated Learning on Usenix Security 2022.☆84Updated 2 years ago
- ☆88Updated 5 years ago
- OLIVE: Oblivious and Differentially Private Federated Learning on TEE☆16Updated 2 years ago
- Implementations of differentially private release mechanisms for graph statistics☆24Updated 3 years ago
- Efficient and Straggler-Resistant Homomorphic Encryption for Heterogeneous Federated Learning☆32Updated last month
- [arXiv'21] Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning☆22Updated 3 months ago
- A foundational platform that primarily shares federated learning, differential privacy content☆22Updated 4 months ago
- MPC Secure Multiparty Computation. A three-party secret-sharing-based vertical federated learning setting. The data are vertically parti…☆23Updated 6 years ago
- The Algorithmic Foundations of Differential Pivacy by Cynthia Dwork Chinese Translation☆165Updated 2 years ago
- ☆42Updated 2 years ago
- ☆35Updated 3 years ago
- Implementation of calibration bounds for differential privacy in the shuffle model☆22Updated 4 years ago
- This repository contains the implementation of DPMLBench: Holistic Evaluation of Differentially Private Machine Learning☆10Updated last year
- This is an implementation for paper "A Hybrid Approach to Privacy Preserving Federated Learning" (https://arxiv.org/pdf/1812.03224.pdf)☆23Updated 5 years ago
- ☆45Updated last year
- Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"☆46Updated last year
- ☆18Updated 4 years ago
- reveal the vulnerabilities of SplitNN☆31Updated 3 years ago
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆61Updated 3 years ago
- A sybil-resilient distributed learning protocol.☆106Updated last year
- Code for the paper "Bayesian Differential Privacy for Machine Learning"☆22Updated 5 years ago
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆84Updated 2 years ago
- 建立基于差分隐私的贝叶斯网络，使得结构化数据同时兼备隐私性与效用性☆28Updated 4 years ago
- Source code for MLSys 2022 submission "LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning"☆23Updated 3 years ago
- Nopeek experiments☆14Updated 5 years ago
- Federated Learning and Membership Inference Attacks experiments on CIFAR10☆22Updated 5 years ago