2 citations · 4 across the 3 of their papers we have counts for
3 papers
Membership-Mappings for Practical Secure Distributed Deep Learning
Mohit Kumar, Weiping Zhang, Lukas Fischer +1
This study leverages the data representation capability of fuzzy based membership-mappings for practical secure distributed deep learning using fully homomorphic encryption. The im…
Information Theoretic Evaluation of Privacy-Leakage, Interpretability, and Transferability for Trustworthy AI
Mohit Kumar, Bernhard A. Moser, Lukas Fischer +1
In order to develop machine learning and deep learning models that take into account the guidelines and principles of trustworthy AI, a novel information theoretic trustworthy AI f…
Membership-Mappings for Data Representation Learning: Measure Theoretic Conceptualization
Mohit Kumar, Bernhard A. Moser, Lukas Fischer +1
A fuzzy theoretic analytical approach was recently introduced that leads to efficient and robust models while addressing automatically the typical issues associated to parametric d…