Taeho Jung

Crowdlearning: Crowded Deep Learning with Data Privacy

2018

Deep Learning has shown promising performance in a variety of pattern recognition tasks owning to large quantities of training data and complex structures of neural networks. However conventional deep neural network (DNN) training involves centrally …

PristiQ: A Co-Design Framework for Preserving Data Security of Quantum Learning in the Cloud

2024

Benefiting from cloud computing, today's early-stage quantum computers can be remotely accessed via the cloud services, known as Quantum-as-a-Service (QaaS). However, it poses a high risk of data leakage in quantum machine learning (QML). To …