Differential PrivacyGoogle's differential privacy libraries.
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InterpretFit interpretable models. Explain blackbox machine learning.
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differential-privacyNaive implementation of basic Differential-Privacy framework and algorithms
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GreyNSightsPrivacy-Preserving Data Analysis using Pandas
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Awesome-Federated-Machine-LearningEverything about federated learning, including research papers, books, codes, tutorials, videos and beyond
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private-data-generationA toolbox for differentially private data generation
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PFL-Non-IIDThe origin of the Non-IID phenomenon is the personalization of users, who generate the Non-IID data. With Non-IID (Not Independent and Identically Distributed) issues existing in the federated learning setting, a myriad of approaches has been proposed to crack this hard nut. In contrast, the personalized federated learning may take the advantage…
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smartnoise-sdkTools and service for differentially private processing of tabular and relational data
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dp-sniperA machine-learning-based tool for discovering differential privacy violations in black-box algorithms.
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diffprivEasy differential privacy in R
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srijan-gsoc-2020Healthcare-Researcher-Connector Package: Federated Learning tool for bridging the gap between Healthcare providers and researchers
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LPGNNLocally Private Graph Neural Networks (ACM CCS 2021)
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differential-privacy-bayesian-optimizationThis repo contains the underlying code for all the experiments from the paper: "Automatic Discovery of Privacy-Utility Pareto Fronts"
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awesome-secure-computationAwesome list for cryptographic secure computation paper. This repo includes *Lattice*, *DifferentialPrivacy*, *MPC* and also a comprehensive summary for top conferences.
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federated pcaFederated Principal Component Analysis Revisited!
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federatedBachelor's Thesis in Computer Science: Privacy-Preserving Federated Learning Applied to Decentralized Data
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opendpThe core library of differential privacy algorithms powering the OpenDP Project.
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