Since the advent of personal computing devices, intelligent personal assistants (IPAs) have
been one of the key technologies that researchers and engineers have focused on, aiming …

Large Language Models (LLMs), such as LLaMA and GPT-4, have transformed the
paradigm of natural language comprehension and generation. Despite their impressive …

Mobile crowdsourcing (MCS) has emerged as a promising sensing paradigm in smart cities
as it reduces the need of expensive static infrastructure and facilitates efficient data …

Backdoor defenses have recently become important in resisting backdoor attacks in deep
neural networks (DNNs), where attackers implant backdoors into the DNN model by …

Collecting 3D point cloud data is cumbersome, so generating high-quality point clouds from
existing data can save time and resources while providing more data to support tasks in …

The neural network data-free backdoor attack is an emerging and potent threat, which
requires minimal resources and does not rely on original training data to implant backdoors …

In the field of machine learning, ensuring the security and reliability of models is crucial,
especially in critical sectors such as healthcare, finance, and security. This thesis …