Pytorch implementation of paper Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data (https://arxiv.org/abs/1610.05755)
☆45Nov 29, 2021Updated 4 years ago
Alternatives and similar repositories for PATE
Users that are interested in PATE are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [NeurIPS 2021] "G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators" by Yunhui Long*…☆30Oct 26, 2021Updated 5 years ago
- This repo implements several algorithms for learning with differential privacy.☆110Dec 15, 2022Updated 3 years ago
- Local Differential Privacy for Federated Learning☆19Oct 24, 2022Updated 4 years ago
- This course introduced me to three cutting-edge technologies for privacy-preserving AI: Federated Learning, Differential Privacy, and Enc…☆11Sep 2, 2019Updated 7 years ago
- [CCS 2021] "DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation" by Boxin Wang*, Fan Wu*, Yunhui Long…☆36Dec 28, 2021Updated 4 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- R-GAP: Recursive Gradient Attack on Privacy [Accepted at ICLR 2021]☆37Feb 20, 2023Updated 3 years ago
- ☆24Apr 29, 2022Updated 4 years ago
- ☆10Oct 18, 2021Updated 5 years ago
- Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)☆56May 28, 2019Updated 7 years ago
- Locally Private Graph Neural Networks (ACM CCS 2021)☆50Oct 21, 2026Updated 2 weeks ago
- autodp: A flexible and easy-to-use package for differential privacy☆280Dec 5, 2023Updated 2 years ago
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆34Apr 29, 2021Updated 5 years ago
- Differential privacy implementation in the Java family of languages (Java, Kotlin, Scala etc...)☆11Aug 31, 2020Updated 6 years ago
- privacy preserving deep learning☆15Sep 11, 2017Updated 9 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Differential Privacy Preservation in Deep Learning under Model Attacks☆135Apr 16, 2021Updated 5 years ago
- Training PyTorch models with differential privacy☆1,970Sep 24, 2026Updated last month
- Code for the paper: Label-Only Membership Inference Attacks☆69Sep 11, 2021Updated 5 years ago
- Code for our paper "Fair k-Center Clustering for Data Summarization"☆12Apr 26, 2019Updated 7 years ago
- Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"☆32Apr 25, 2022Updated 4 years ago
- Differentially Private Clustering in High-Dimensional Euclidean Spaces☆12Dec 30, 2017Updated 8 years ago
- Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)☆48Aug 18, 2022Updated 4 years ago
- Code for Active Mixup in 2020 CVPR☆23Jan 11, 2022Updated 4 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☆30Jan 31, 2021Updated 5 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- A codebase that makes differentially private training of transformers easy.☆190Dec 9, 2022Updated 3 years ago
- Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"☆38Jan 28, 2019Updated 7 years ago
- PyFed generic framework of benchmark for Federated Learning☆11Oct 9, 2021Updated 5 years ago
- Code for paper "Byzantine-Resilient Distributed Finite-Sum Optimization over Networks"☆20Nov 5, 2020Updated 6 years ago
- ☆20Mar 6, 2023Updated 3 years ago
- ☆14Oct 1, 2025Updated last year
- Differentially Private Deep Learning in PyTorch☆30Sep 27, 2021Updated 5 years ago
- [IJCAI 2020] This is an official code implementation for Deep Polarized Network for Supervised Learning of Accurate Binary Hashing Codes.☆11Jul 7, 2021Updated 5 years ago
- DP-HyperparamTuning offers an array of tools for fast and easy hypertuning of various hyperparameters for the DP-SGD algorithm.☆23Sep 27, 2021Updated 5 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆61Feb 4, 2022Updated 4 years ago
- ☆10Jun 22, 2022Updated 4 years ago
- An implementation of ACGAN with adversarial loss and training algorithm from Improved WGAN.☆10Jan 2, 2019Updated 7 years ago
- Curated list of differential privacy libraries, courses, and readings☆330Oct 9, 2026Updated 3 weeks ago
- A library for running membership inference attacks against ML models☆152Dec 8, 2022Updated 3 years ago
- Official Pytorch implementation for "Differentially Private Federated Learning on Heterogeneous Data" (AISTATS 2022)☆78Feb 22, 2022Updated 4 years ago
- Implementation of membership inference and model inversion attacks, extracting training data information from an ML model. Benchmarking …☆104Nov 2, 2019Updated 7 years ago