Deep Learning
23 articles

Discussions on deep learning techniques, their intersection with privacy, and how they power modern AI models.

Federated Learning in 10 Lines of code, with PySyft
Beginner Friendly Terminology
Neural Networks as Steganographic Vehicles
Confidential Computing Explained. Part 2 : Attestation
Confidential computing explained. Part 1: introduction
PRIMAL: a framework for secure evaluation of neural networks
Tempered Sigmoid Activations for Deep Learning with Differential Privacy
PrivacyRaven: Comprehensive Privacy Testing for Deep Learning
How GANs can cause a Privacy Breach in Federated Deep Learning
Sentiment Analysis on Multiple Datasets With SyferText – Demo
What is Federated Learning?
Towards privacy with RStudio: Encrypted deep learning with Syft and Keras

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