Search Results for author:
Found 3 papers, 0 papers with code
Membership-Mappings for Practical Secure Distributed Deep Learning
This study leverages the data representation capability of fuzzy based membership-mappings for practical secure distributed deep learning using fully homomorphic encryption.
Information Theoretic Evaluation of Privacy-Leakage, Interpretability, and Transferability for Trustworthy AI
A variational membership-mapping Bayesian model is used for the analytical approximations of the defined information theoretic measures for privacy-leakage, interpretability, and transferability.
Membership-Mappings for Data Representation Learning: Measure Theoretic Conceptualization
An analytical approach to the variational learning of a membership-mappings based data representation model is considered.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
