git-disl / AdaTraceLinks
Utility-aware synthesis of differentially private and attack-resilient location traces
☆25Updated 6 years ago
Alternatives and similar repositories for AdaTrace
Users that are interested in AdaTrace are comparing it to the libraries listed below
Sorting:
- The Algorithmic Foundations of Differential Pivacy by Cynthia Dwork Chinese Translation☆165Updated 2 years ago
- Useful tools for differential privacy☆217Updated 3 years ago
- Sample LDP implementation in Python☆129Updated 2 years ago
- ☆21Updated 2 years ago
- Differential private machine learning☆195Updated 3 years ago
- 本项目实现自《差分隐私下满足一致性的轨迹流量发布方法》，作者蔡剑平☆12Updated 6 years ago
- ☆14Updated 7 months ago
- Implementation of calibration bounds for differential privacy in the shuffle model☆21Updated 4 years ago
- Local Differential Privacy for Federated Learning☆17Updated 2 years ago
- Implementation of "PrivGraph: Differentially Private Graph Data Publication by Exploiting Community Information"☆13Updated 2 years ago
- Secure and utility-aware data collection with condensed local differential privacy☆17Updated 5 years ago
- Paper notes and code for differentially private machine learning☆358Updated last month
- Implementation of local differential privacy mechanisms in Python language.☆29Updated 3 years ago
- IEEE TIFS'20: VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning☆25Updated 3 years ago
- Python package for simple implementations of state-of-the-art LDP frequency estimation algorithms. Contains code for our VLDB 2021 Paper.☆76Updated 2 years ago
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆126Updated last year
- Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget☆49Updated 7 years ago
- code for 'Differential Location Privacy for Sparse Mobile Crowdsensing' at ICDM'16☆46Updated 8 years ago
- ☆20Updated last year
- Code & supplementary material of the paper Label Inference Attacks Against Federated Learning on Usenix Security 2022.☆83Updated 2 years ago
- Locally Private Graph Neural Networks (ACM CCS 2021)☆49Updated 3 months ago
- An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…☆88Updated 6 years ago
- ConTPL: Controlling Temporal Privacy Leakage in Streaming Data Release with Differential Privacy☆10Updated 7 years ago
- Implementation of paper "More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks"☆24Updated 2 years ago
- Quantifying Differential Privacy under Temporal Correlations☆12Updated 2 years ago
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆61Updated 3 years ago
- Implementations of differentially private release mechanisms for graph statistics☆24Updated 3 years ago
- Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradi…☆31Updated 4 years ago
- Multi‐key homomorphic encryption based on MKCKKS☆20Updated 3 years ago
- PyTorch implementation of a number of mechanisms in local differential privacy☆17Updated 3 years ago