59 citations · 209 across the 50 of their papers we have counts for
5 papers · 1 filter
Computable Model-Independent Bounds for Adversarial Quantum Machine Learning
Bacui Li, Tansu Alpcan, Chandra Thapa +1
By leveraging the principles of quantum mechanics, QML opens doors to novel approaches in machine learning and offers potential speedup. However, machine learning models are well-d…
A Hybrid Quantum Neural Network for Split Learning
Hevish Cowlessur, Chandra Thapa, Tansu Alpcan +1
Quantum Machine Learning (QML) is an emerging field of research with potential applications to distributed collaborative learning, such as Split Learning (SL). SL allows resource-c…
Lightweight Conceptual Dictionary Learning for Text Classification Using Information Compression
Li Wan, Tansu Alpcan, Margreta Kuijper +1
We propose a novel, lightweight supervised dictionary learning framework for text classification based on data compression and representation. This two-phase algorithm initially em…
OIL-AD: An Anomaly Detection Framework for Sequential Decision Sequences
Chen Wang, Sarah Erfani, Tansu Alpcan +1
Anomaly detection in decision-making sequences is a challenging problem due to the complexity of normality representation learning and the sequential nature of the task. Most exist…
An Efficient Wireless Channel Estimation Model for Environment Sensing
Zainab Zaidi, Tansu Alpcan, Christopher Leckie +1
This paper presents a novel and efficient wireless channel estimation scheme based on a tapped delay line (TDL) model of wireless signal propagation, where a data-driven machine le…