Computer vision applications like traffic monitoring, security checks, self-driving cars,
medical imaging, etc., rely heavily on machine learning models. It raises an essential …

Deep neural networks (DNNs) are key components for the implementation of autonomy in
systems that operate in highly complex and unpredictable environments (self-driving cars …

Generative models are invaluable in many fields of science because of their ability to
capture high-dimensional and complicated distributions, such as photo-realistic images …

Model stealing (MS) attacks pose a significant security concern for machine learning models
on cloud platforms, as they can reconstruct a substitute model with limited effort to evade …

Large language models (LLMs) such as ChatGPT have exhibited remarkable performance
in generating human-like texts. However, machine-generated texts (MGTs) may carry critical …

Generative models have gained significant attention in recent years. They are increasingly
used to estimate the underlying structure of high-dimensional data and artificially generate …

Aspect-level sentiment analysis is crucial for consumers and institutions, enabling them to
monitor satisfaction regarding specific aspects of products and services through user …