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Archive of stories published by Cape Privacy (Formerly Dropout Labs)

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Jason Mancuso in Cape Privacy (Formerly Dropout Labs)

Privacy-Preserving Machine Learning 2018: A Year in Review

We highlight the news, research, code…

Yann Dupis in Cape Privacy (Formerly Dropout Labs)

Encrypted Deep Learning Training and Predictions with TF Encrypted Keras

Yann Dupis in Cape Privacy (Formerly Dropout Labs)

Cape Python: Apply Privacy-Enhancing Techniques to Protect Sensitive Data in Pandas and Spark

Jason Mancuso in Cape Privacy (Formerly Dropout Labs)

Privacy-Preserving Machine Learning 2019: A Year in Review

Ben DeCoste in Cape Privacy (Formerly Dropout Labs)

Secret Sharing Explained

The primitive behind secure multi-party computation

Justin Patriquin in Cape Privacy (Formerly Dropout Labs)

Federated Learning with Secure Aggregation in TensorFlow

Morten Dahl in Cape Privacy (Formerly Dropout Labs)

Experimenting with TF Encrypted

A Library for Private Machine Learning in TensorFlow

Justin Patriquin in Cape Privacy (Formerly Dropout Labs)

Bridging Microsoft SEAL into TensorFlow

The road to machine learning with homomorphic encryption

Gavin Uhma in Cape Privacy (Formerly Dropout Labs)

Introducing Dropout Labs

We’re pleased to introduce Dropout Labs, a company focused on secure, privacy-preserving machine learning.

Justin Patriquin in Cape Privacy (Formerly Dropout Labs)

Secure Logistic Regression: MPC vs Enclave Benchmark

With Ben DeCoste.

These were the top 10 stories published by Cape Privacy (Formerly Dropout Labs); you can also dive into yearly archives: 2018, 2019, and 2020.

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Cape Privacy (Formerly Dropout Labs)

Privacy & Trust Management for Machine Learning. Operationalize compliance for collaborative machine learning across your organization.

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Tags

Machine Learning

Decentralization

Artificial Intelligence

Secure Computation

Machine Learning

Editors

Justin Patriquin

Writers

Justin Patriquin

Keely Chamberlain.

Katharine Jarmul