fifiteen82726 / Laplace-Mechanism-and-Randomized-Response
Compare Randomized Response and Laplace Mechanism
☆9Updated 5 years ago
Related projects: ⓘ
- Python package for simple implementations of state-of-the-art LDP frequency estimation algorithms. Contains code for our VLDB 2021 Paper.☆71Updated last year
- Sample LDP implementation in Python☆113Updated last year
- Implementation of calibration bounds for differential privacy in the shuffle model☆23Updated 3 years ago
- Accompanying source code to my Bachelor's thesis at TUHH☆11Updated 6 years ago
- Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget☆46Updated 6 years ago
- An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…☆80Updated 5 years ago
- ☆11Updated 2 years ago
- personal implementation of secure aggregation protocol☆41Updated 7 months ago
- Implementation of DataFly for K-anonymity, and implemented Laplace Mechanism and Exponential Mechanism for Differential Privacy☆37Updated 5 years ago
- MPC Secure Multiparty Computation. A three-party secret-sharing-based vertical federated learning setting. The data are vertically parti…☆24Updated 5 years ago
- Useful tools for differential privacy☆213Updated 2 years ago
- Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"☆42Updated 11 months ago
- Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness (IJCAI'19).☆13Updated 3 years ago
- IEEE TIFS'20: VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning☆22Updated 2 years ago
- Differential private machine learning☆177Updated 2 years ago
- A foundational platform that primarily shares federated learning, differential privacy content☆19Updated 3 months ago
- A simple Python implementation of a secure aggregation protocole for federated learning.☆34Updated last year
- Secure and utility-aware data collection with condensed local differential privacy☆16Updated 4 years ago
- Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradi…☆26Updated 3 years ago
- OLIVE: Oblivious and Differentially Private Federated Learning on TEE☆14Updated last year
- ☆78Updated 4 years ago
- Privacy-Preserving Deep Learning via Additively Homomorphic Encryption☆66Updated 3 years ago
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆55Updated 2 years ago
- Repository for collection of research papers on multi-party learning.☆30Updated last year
- Differential Privacy Preservation in Deep Learning under Model Attacks☆131Updated 3 years ago
- GFIM: An novel algorithm of frequent item mining with local differential privacy☆12Updated 4 years ago
- Multiple Frequency Estimation Under Local Differential Privacy in Python☆41Updated last year
- Code for NIPS'2017 paper☆49Updated 4 years ago
- Secure Aggregation for FL☆34Updated 9 months ago
- 使用tensorflow2.1实现联合学习推荐模型，并加入差分隐私噪声进行隐私保护。☆46Updated last year