BenKosSoft / pymovielens
Applying differential privacy to movie recommendation system to guarantee the privacy of individual user ratings.
☆10Updated 7 years ago
Related projects ⓘ
Alternatives and complementary repositories for pymovielens
- Code for NIPS'2017 paper☆49Updated 4 years ago
- Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget☆47Updated 6 years ago
- simple Differential Privacy in PyTorch☆48Updated 4 years ago
- Differential Privacy Preservation in Deep Learning under Model Attacks☆132Updated 3 years ago
- ☆39Updated last year
- Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness (IJCAI'19).☆13Updated 3 years ago
- Data and code of our paper "Privacy-Preserving News Recommendation Model Learning"☆39Updated 2 years ago
- Analytic calibration for differential privacy with Gaussian perturbations☆44Updated 6 years ago
- ☆14Updated 5 years ago
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆47Updated 3 years ago
- Pytorch implementation of paper Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data (https://arxiv.org/abs/16…☆42Updated 2 years ago
- Differentially private learning on distributed data (NIPS 2017)☆12Updated 6 years ago
- code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"☆31Updated 2 years ago
- This repository collects the latest research progress of Privacy-Preserving Recommender Systems after 2018.☆29Updated 3 years ago
- ☆61Updated 5 years ago
- Locally Private Graph Neural Networks (ACM CCS 2021)☆45Updated last year
- ☆26Updated 4 years ago
- Hadamard Response: Communication efficient, sample optimal, linear time locally private learning of distributions☆14Updated 4 years ago
- Attentive Federated Learning for Private NLM☆60Updated 3 months ago
- ☆19Updated 5 years ago
- Implementation of calibration bounds for differential privacy in the shuffle model☆23Updated 4 years ago
- Federated Multi-Task Learning☆129Updated 6 years ago
- ☆27Updated last year
- Salvaging Federated Learning by Local Adaptation☆56Updated 3 months ago
- Model Poisoning Attack to Federated Recommendation☆31Updated 2 years ago
- A list of papers using/about Federated Learning especially malicious client and attacks.☆12Updated 4 years ago
- Secure and utility-aware data collection with condensed local differential privacy☆16Updated 4 years ago
- The code for "Improved Deep Leakage from Gradients" (iDLG).☆144Updated 3 years ago
- GFIM: An novel algorithm of frequent item mining with local differential privacy☆12Updated 4 years ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆146Updated 2 years ago