Topic: differential-privacy Goto Github
Some thing interesting about differential-privacy
Some thing interesting about differential-privacy
differential-privacy,A large labelled image dataset for benchmarking in federated learning
Organization: apple
differential-privacy,Simulation framework for accelerating research in Private Federated Learning
Organization: apple
Home Page: http://apple.github.io/pfl-research/
differential-privacy,Fast, memory-efficient, scalable optimization of deep learning with differential privacy
Organization: awslabs
differential-privacy,Differential private machine learning
User: billy1900
Home Page: https://github.com/Billy1900/Differential-Privacy
differential-privacy,A toolbox for differentially private data generation
Organization: borealisai
differential-privacy,Easy differential privacy in R
User: brubinstein
Home Page: https://brubinstein.github.io/diffpriv/
differential-privacy,OpenHuFu is an open-sourced data federation system to support collaborative queries over multi databases with security guarantee.
Organization: buaa-bda
differential-privacy,Differentially Private Optimization for PyTorch 👁🙅♀️
User: chriswaites
differential-privacy,simple Differential Privacy in PyTorch
User: ebagdasa
differential-privacy,Google's differential privacy libraries.
Organization: google
differential-privacy,Privacy-preserving generative deep neural networks support clinical data sharing
Organization: greenelab
Home Page: http://www.biorxiv.org/content/early/2017/07/05/159756
differential-privacy,Synthetic data generators for structured and unstructured text, featuring differentially private learning.
Organization: gretelai
Home Page: https://gretel.ai/platform/synthetics
differential-privacy,Repository for collection of research papers on privacy.
User: guyanqi
differential-privacy,Multiple Frequency Estimation Under Local Differential Privacy in Python
User: hharcolezi
Home Page: https://pypi.org/project/multi-freq-ldpy/
differential-privacy,Diffprivlib: The IBM Differential Privacy Library
Organization: ibm
Home Page: https://diffprivlib.readthedocs.io
differential-privacy,Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
User: innovation-cat
differential-privacy,Fit interpretable models. Explain blackbox machine learning.
Organization: interpretml
Home Page: https://interpret.ml/docs
differential-privacy,Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)
Organization: ipc-lab
Home Page: https://arxiv.org/abs/2101.11693
differential-privacy,Awesome list for cryptographic secure computation paper. This repo includes *Lattice*, *DifferentialPrivacy*, *MPC* and also a comprehensive summary for top conferences.
User: jamie-cui
differential-privacy,机器学习和差分隐私的论文笔记和代码仓
User: jefffffffu
differential-privacy,An All in one Project for Digital Privacy. A step towards a PRIVATE FUTURE
User: kaiiyer
Home Page: https://kaiiyer.co/rajappan/
differential-privacy,Pytorch implementation of paper Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data (https://arxiv.org/abs/1610.05755)
User: kamathhrishi
differential-privacy,Evaluating variety of k-Anonymity techniques.
User: kaylode
differential-privacy,Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)
User: koukyosyumei
differential-privacy,Code for ML Doctor
User: liuyugeng
differential-privacy,A codebase that makes differentially private training of transformers easy.
User: lxuechen
Home Page: https://arxiv.org/abs/2110.05679
differential-privacy,Naive implementation of basic Differential-Privacy framework and algorithms
User: mbrg
differential-privacy,[ICLR 2024] Generating DP Synthetic Data without Training
Organization: microsoft
differential-privacy,A curated list of resources related to privacy engineering
User: mplspunk
differential-privacy,Differentially private synthetic data
User: mrtzh
differential-privacy,(SIGCOMM '22) Practical GAN-based Synthetic IP Header Trace Generation using NetShare
Organization: netsharecmu
Home Page: https://www.pcapshare.com/
differential-privacy,The core library of differential privacy algorithms powering the OpenDP Project.
Organization: opendp
Home Page: https://opendp.org
differential-privacy,Differential privacy validator and runtime
Organization: opendp
differential-privacy,Python language bindings for smartnoise-core.
Organization: opendp
differential-privacy,Code samples and documentation for SmartNoise differential privacy tools
Organization: opendp
differential-privacy,Tools and service for differentially private processing of tabular and relational data
Organization: opendp
differential-privacy,The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy
Organization: openmined
differential-privacy,Cross-silo Federated Learning playground in Python. Discover 7 real-world federated datasets to test your new FL strategies and try to beat the leaderboard.
Organization: owkin
Home Page: https://owkin.github.io/FLamby/
differential-privacy,Privacy Preserving Collaborative Encrypted Network Traffic Classification (Differential Privacy, Federated Learning, Membership Inference Attack, Encrypted Traffic Classification)
Organization: privpkt
differential-privacy,Training PyTorch models with differential privacy
Organization: pytorch
Home Page: https://opacus.ai
differential-privacy,Python package for simple implementations of state-of-the-art LDP frequency estimation algorithms. Contains code for our VLDB 2021 Paper.
User: samuel-maddock
differential-privacy,Simulate a federated setting and run differentially private federated learning.
Organization: sap-samples
Home Page: https://arxiv.org/abs/1712.07557v1
differential-privacy,A unified framework for privacy-preserving data analysis and machine learning
Organization: secretflow
Home Page: https://www.secretflow.org.cn/docs/secretflow/en/
differential-privacy,Locally Private Graph Neural Networks (ACM CCS 2021)
User: sisaman
Home Page: https://arxiv.org/abs/2006.05535
differential-privacy,Synergistic fusion of privacy-enhancing technologies for enhanced privacy protection.
Organization: tiktok-privacy-innovation
Home Page: https://privacyinnovation.io/
differential-privacy,This is a platform containing the datasets and federated learning algorithms in IoT environments.
User: tsingz0
differential-privacy,We expose this user-friendly algorithm library (with an integrated evaluation platform) for beginners who intend to start federated learning (FL) study
User: tsingz0
differential-privacy,Privacy Engineering Collaboration Space
Organization: usnistgov
Home Page: https://www.nist.gov/itl/applied-cybersecurity/privacy-engineering/collaboration-space
differential-privacy,A Simulator for Privacy Preserving Federated Learning
User: vaikkunth
differential-privacy,Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shakespeare, mnist, cifar-10 and fashion-mnist. )
User: wenzhu23333
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.