Linking pages
Linked pages
- Google Developers Blog: Enabling developers and organizations to use differential privacy https://developers.googleblog.com/2019/09/enabling-developers-and-organizations.html 181 comments
- Secure multi-party computation - Wikipedia https://en.wikipedia.org/wiki/Secure_multi-party_computation 173 comments
- General Data Protection Regulation - Wikipedia https://en.m.wikipedia.org/wiki/general_data_protection_regulation 98 comments
- California Consumer Privacy Act (CCPA): What you need to know to be compliant | CSO Online https://www.csoonline.com/article/3292578/california-consumer-privacy-act-what-you-need-to-know-to-be-compliant.html 51 comments
- Bill Text - AB-375 Privacy: personal information: businesses. https://leginfo.legislature.ca.gov/faces/billTextClient.xhtml?bill_id=201720180AB375 44 comments
- Federated Learning: Collaborative Machine Learning without Centralized Training Data – Google AI Blog https://ai.googleblog.com/2017/04/federated-learning-collaborative.html 33 comments
- spaCy · Industrial-strength Natural Language Processing in Python https://spacy.io/ 29 comments
- GitHub - microsoft/presidio: Context aware, pluggable and customizable data protection and de-identification SDK for text and images https://github.com/microsoft/presidio 20 comments
- Medium https://medium.com/m/signin?isDraft=1&operation=login&redirect=https%3A%2F%2Fmedium.com%2F%40jamie_34747%2F79d382edf22b%3Fsource%3D 19 comments
- https://www.apple.com/privacy/docs/Differential_Privacy_Overview.pdf 19 comments
- Deep Learning -> Federated Learning in 10 Lines of PyTorch + PySyft https://blog.openmined.org/upgrade-to-federated-learning-in-10-lines/ 15 comments
- https://www.cis.upenn.edu/~aaroth/Papers/privacybook.pdf 13 comments
- Federated learning - Wikipedia https://en.wikipedia.org/wiki/Federated_learning 3 comments
- Differential privacy - Wikipedia https://en.wikipedia.org/wiki/Differential_privacy 0 comments
- StanfordNLP 0.2.0 - Python NLP Library for Many Human Languages | StanfordNLP https://stanfordnlp.github.io/stanfordnlp/ 0 comments
- OpenMined http://openmined.org 0 comments
- GitHub - OpenMined/PySyft: data science on data without acquiring a copy https://github.com/OpenMined/PySyft 0 comments
- Overview - CoreNLP http://stanfordnlp.github.io/CoreNLP/ 0 comments
- GitHub - tensorflow/privacy: Library for training machine learning models with privacy for training data https://github.com/tensorflow/privacy 0 comments
- Encrypted Deep Learning Classification with PyTorch + PySyft https://blog.openmined.org/encrypted-deep-learning-classification-with-pysyft/ 0 comments
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