BUAA-BDA / PrivacyComputing-PaperList
This is a recommended paper list for the course of Privacy Computing.
☆12Updated 7 months ago
Related projects ⓘ
Alternatives and complementary repositories for PrivacyComputing-PaperList
- Utility-aware synthesis of differentially private and attack-resilient location traces☆21Updated 5 years ago
- Efficient and Straggler-Resistant Homomorphic Encryption for Heterogeneous Federated Learning☆15Updated last month
- Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"☆43Updated last year
- A foundational platform that primarily shares federated learning, differential privacy content☆20Updated 2 weeks ago
- ☆12Updated 2 years ago
- [arXiv'21] Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning☆18Updated 10 months ago
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆57Updated 2 years ago
- Secure and utility-aware data collection with condensed local differential privacy☆16Updated 4 years ago
- Federated Learning and Membership Inference Attacks experiments on CIFAR10☆19Updated 4 years ago
- Local Differential Privacy for Federated Learning☆16Updated 2 years ago
- reveal the vulnerabilities of SplitNN☆30Updated 2 years ago
- OLIVE: Oblivious and Differentially Private Federated Learning on TEE☆14Updated last year
- Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.☆56Updated last month
- Sample LDP implementation in Python☆116Updated last year
- ☆32Updated 2 years ago
- Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget☆47Updated 6 years ago
- Implementation of calibration bounds for differential privacy in the shuffle model☆23Updated 4 years ago
- Python package for simple implementations of state-of-the-art LDP frequency estimation algorithms. Contains code for our VLDB 2021 Paper.☆71Updated last year
- DPSUR☆20Updated 4 months ago
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆106Updated last month
- Privacy-preserving Federated Learning with Trusted Execution Environments☆63Updated last year
- Implementation of local differential privacy mechanisms in Python language.☆28Updated 2 years ago
- Implementation of "PrivGraph: Differentially Private Graph Data Publication by Exploiting Community Information"☆9Updated last year
- Code for Paper "Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption"☆30Updated 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☆24Updated 3 years ago
- Code & supplementary material of the paper Label Inference Attacks Against Federated Learning on Usenix Security 2022.☆79Updated last year
- MPC Secure Multiparty Computation. A three-party secret-sharing-based vertical federated learning setting. The data are vertically parti…☆24Updated 5 years ago
- Privacy attacks on Split Learning☆37Updated 3 years ago
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆74Updated last year
- PyTorch implementation of a number of mechanisms in local differential privacy☆13Updated 2 years ago