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06/01/2023
An End-to-End Time Series Model for Simultaneous Imputation and Forecast
Time series forecasting using historical data has been an interesting an...
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03/22/2023
TsSHAP: Robust model agnostic feature-based explainability for time series forecasting
A trustworthy machine learning model should be accurate as well as expla...
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07/07/2022
HE-PEx: Efficient Machine Learning under Homomorphic Encryption using Pruning, Permutation and Expansion
Privacy-preserving neural network (NN) inference solutions have recently...
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03/05/2021
Efficient Encrypted Inference on Ensembles of Decision Trees
Data privacy concerns often prevent the use of cloud-based machine learn...
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10/28/2019
Differentially Private Distributed Data Summarization under Covariate Shift
We envision AI marketplaces to be platforms where consumers, with very l...
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10/25/2018
Promoting Distributed Trust in Machine Learning and Computational Simulation via a Blockchain Network
Policy decisions are increasingly dependent on the outcomes of simulatio...
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09/23/2018
Permissioned Blockchain Technologies for Academic Publishing
Academic publishing is continuously evolving with the gradual adoption o...
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09/22/2018
Trusted Multi-Party Computation and Verifiable Simulations: A Scalable Blockchain Approach
Large-scale computational experiments, often running over weeks and over...
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02/12/2017