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Found 5 papers, 4 papers with code
Privacy-preserving medical image analysis
The utilisation of artificial intelligence in medicine and healthcare has led to successful clinical applications in several domains.
Privacy-preserving collaborative machine learning on genomic data using TensorFlow
Machine learning (ML) methods have been widely used in genomic studies.
Cryptography and Security
Detecting Spiky Corruption in Markov Decision Processes
We show that if the reward corruption in a CRMDP is sufficiently "spiky", the environment is solvable.
A generic framework for privacy preserving deep learning
We detail a new framework for privacy preserving deep learning and discuss its assets.
Private Machine Learning in TensorFlow using Secure Computation
We present a framework for experimenting with secure multi-party computation directly in TensorFlow.
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