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09/06/2023
Epi-Curriculum: Episodic Curriculum Learning for Low-Resource Domain Adaptation in Neural Machine Translation
Neural Machine Translation (NMT) models have become successful, but thei...
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02/01/2023
Towards Implementing Energy-aware Data-driven Intelligence for Smart Health Applications on Mobile Platforms
Recent breakthrough technological progressions of powerful mobile comput...
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07/29/2022
IMUNet: Efficient Regression Architecture for IMU Navigation and Positioning
Data-driven based method for navigation and positioning has absorbed att...
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05/28/2022
MC-GEN:Multi-level Clustering for Private Synthetic Data Generation
Nowadays, machine learning is one of the most common technology to turn ...
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02/11/2022
SuperCon: Supervised Contrastive Learning for Imbalanced Skin Lesion Classification
Convolutional neural networks (CNNs) have achieved great success in skin...
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02/07/2022
Locally Differentially Private Distributed Deep Learning via Knowledge Distillation
Deep learning often requires a large amount of data. In real-world appli...
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07/06/2021
COVID-19 Pneumonia Severity Prediction using Hybrid Convolution-Attention Neural Architectures
This study proposed a novel framework for COVID-19 severity prediction, ...
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07/04/2021
SEC-NoSQL: Towards Implementing High Performance Security-as-a-Service for NoSQL Databases
During the last few years, the explosion of Big Data has prompted cloud ...
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06/21/2021
ESAI: Efficient Split Artificial Intelligence via Early Exiting Using Neural Architecture Search
Recently, deep neural networks have been outperforming conventional mach...
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06/20/2021
A compressive multi-kernel method for privacy-preserving machine learning
As the analytic tools become more powerful, and more data are generated ...
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02/21/2021
Contrastive Self-supervised Neural Architecture Search
This paper proposes a novel cell-based neural architecture search algori...
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01/22/2021
Generating Black-Box Adversarial Examples in Sparse Domain
Applications of machine learning (ML) models and convolutional neural ne...
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11/01/2020
Discriminative Adversarial Domain Generalization with Meta-learning based Cross-domain Validation
The generalization capability of machine learning models, which refers t...
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05/09/2020
Utility-aware Privacy-preserving Data Releasing
In the big data era, more and more cloud-based data-driven applications ...
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04/25/2020
CS-AF: A Cost-sensitive Multi-classifier Active Fusion Framework for Skin Lesion Classification
Convolutional neural networks (CNNs) have achieved the state-of-the-art ...
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04/25/2020
SAIA: Split Artificial Intelligence Architecture for Mobile Healthcare System
As the advancement of deep learning (DL), the Internet of Things and clo...
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02/09/2020
Privacy-Preserving Image Classification in the Local Setting
Image data has been greatly produced by individuals and commercial vendo...
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02/06/2020
Privacy-Preserving Boosting in the Local Setting
In machine learning, boosting is one of the most popular methods that de...
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05/03/2019
Locally Differentially Private Naive Bayes Classification
In machine learning, classification models need to be trained in order t...
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03/27/2018
Privacy Preserving Machine Learning: Threats and Solutions
For privacy concerns to be addressed adequately in current machine learn...
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02/23/2018