Privacy-Graph / PrivGraphLinks
Implementation of "PrivGraph: Differentially Private Graph Data Publication by Exploiting Community Information"
☆15Updated 2 years ago
Alternatives and similar repositories for PrivGraph
Users that are interested in PrivGraph are comparing it to the libraries listed below
Sorting:
- Sample LDP implementation in Python☆128Updated 2 years ago
- Useful tools for differential privacy☆219Updated 3 years ago
- The Algorithmic Foundations of Differential Pivacy by Cynthia Dwork Chinese Translation☆172Updated 3 years ago
- Paper notes and code for differentially private machine learning☆367Updated 3 months ago
- Python package for simple implementations of state-of-the-art LDP frequency estimation algorithms. Contains code for our VLDB 2021 Paper.☆78Updated last month
- Secure and utility-aware data collection with condensed local differential privacy☆17Updated 5 years ago
- Differential private machine learning☆196Updated 3 years ago
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆131Updated last year
- Implementation of dp-based federated learning framework using PyTorch☆313Updated 2 years ago
- ☆20Updated last year
- Utility-aware synthesis of differentially private and attack-resilient location traces☆25Updated 6 years ago
- Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget☆49Updated 7 years 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。☆55Updated 2 years ago
- Implementation of calibration bounds for differential privacy in the shuffle model☆21Updated 5 years ago
- PyTorch implementation of a number of mechanisms in local differential privacy☆17Updated 3 years ago
- Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness (IJCAI'19).☆13Updated 4 years ago
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆61Updated 3 years ago
- Locally Private Graph Neural Networks (ACM CCS 2021)☆49Updated 5 months ago
- Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…☆413Updated last year
- Multiple Frequency Estimation Under Local Differential Privacy in Python☆49Updated 2 years ago
- ☆332Updated last month
- GFIM: An novel algorithm of frequent item mining with local differential privacy☆12Updated 5 years ago
- Code for CCS '23 paper "Blink: Link Local Differential Privacy in Graph Neural Networks via Bayesian Estimation"☆15Updated 2 years ago
- DPSUR☆27Updated 10 months ago
- ☆14Updated 4 years ago
- An implementation of "Data Synthesis via Differentially Private Markov Random Fields"☆15Updated last year
- Implementation of paper "More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks"☆24Updated 2 years ago
- [INFOCOM24' & TDSC25']FedPHE & Efficient and Straggler-Resistant Homomorphic Encryption for Heterogeneous Federated Learning☆39Updated 3 months ago
- ☆64Updated 6 years ago
- Amortized version of the differentially private SGD algorithm published in "Deep Learning with Differential Privacy" by Abadi et al. Enfo…☆42Updated last year