hwangcsiit / Location-Local-Differential-PrivacyLinks
☆17Updated last year
Alternatives and similar repositories for Location-Local-Differential-Privacy
Users that are interested in Location-Local-Differential-Privacy are comparing it to the libraries listed below
Sorting:
- Secure and utility-aware data collection with condensed local differential privacy☆17Updated 5 years ago
- Local Differential Privacy for Federated Learning☆16Updated 2 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆33Updated 4 years ago
- Utility-aware synthesis of differentially private and attack-resilient location traces☆24Updated 6 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 5 years ago
- An implementation of Deep Learning with Differential Privacy☆25Updated 2 years ago
- code for 'Differential Location Privacy for Sparse Mobile Crowdsensing' at ICDM'16☆46Updated 8 years ago
- This is the repository for the work "An ensemble mechanism to tackle the heterogeneity in asynchronous federated learning"☆11Updated 3 years ago
- reproduce the FLTrust model based on the paper "FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping"☆29Updated 2 years ago
- Implementation of calibration bounds for differential privacy in the shuffle model☆22Updated 4 years ago
- ☆18Updated 4 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆45Updated 2 years ago
- Python implementation of differential privacy using Laplace mechanism☆11Updated 2 years ago
- FL-Defender: Combating Targeted Attacks in Federated Learning☆1Updated 2 years ago
- A foundational platform that primarily shares federated learning, differential privacy content☆22Updated 2 months ago
- Github Repo for AAAI 2023 paper: On the Vulnerability of Backdoor Defenses for Federated Learning☆37Updated 2 years ago
- ☆19Updated last year
- Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC☆35Updated 4 years ago
- ☆15Updated last year
- Implementation of Shuffled Model of Differential Privacy in Federated Learning." AISTATS, 2021.☆18Updated 2 years ago
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆68Updated 4 years ago
- Amortized version of the differentially private SGD algorithm published in "Deep Learning with Differential Privacy" by Abadi et al. Enfo…☆41Updated last year
- Differentially Private Federated Learning on Heterogeneous Data☆64Updated 3 years ago
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆83Updated 2 years ago
- ☆22Updated last year
- This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.☆44Updated last year
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆40Updated 3 years ago
- ☆11Updated 3 years ago
- Implementation of local differential privacy mechanisms in Python language.☆29Updated 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