5 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.CR2024
Privacy preserving layer partitioning for Deep Neural Network models
Kishore Rajasekar, Randolph Loh, Kar Wai Fok +1
MLaaS (Machine Learning as a Service) has become popular in the cloud computing domain, allowing users to leverage cloud resources for running private inference of ML models on the…
cs.CR2023
Enhancing Cyber-Resilience in Self-Healing Cyber-Physical Systems with Implicit Guarantees
Randolph Loh, Vrizlynn L. L. Thing
Self-Healing Cyber-Physical Systems (SH-CPS) effectively recover from system perceived failures without human intervention. They ensure a level of resilience and tolerance to unfor…
cs.CR2022★ 5 cited
Data Privacy in Multi-Cloud: An Enhanced Data Fragmentation Framework
Randolph Loh, Vrizlynn L. L. Thing
Data splitting preserves privacy by partitioning data into various fragments to be stored remotely and shared. It supports most data operations because data can be stored in clear…