Deep neural networks (DNNs) are continuously expanding their application to various
domains due to their high performance. Nevertheless, a well-trained DNN after deployment …

Deep Neural Networks (DNNs) have achieved tremendous success in many applications,
while it has been demonstrated that DNNs can exhibit some undesirable behaviors on …

Over the past decade, Artificial Intelligence (AI) has had great success recently and is being
used in a wide range of academic and industrial fields. More recently, Large Language …

Neural networks are important computational models used in the domains of artificial
intelligence and software engineering. Parameters of a neural network are obtained via …

Abstract Recurrent Neural Networks (RNNs) have achieved tremendous success in
processing sequential data, yet understanding and analyzing their behaviours remains a …

Abstract As Generative Artificial Intelligence (GenAI) technologies evolve at an
unprecedented rate, global governance approaches struggle to keep pace with the …

Binary code similarity analysis (BCSA) is a fundamental building block for various software
security, reverse engineering, and re-engineering applications. Existing research has …

Context: If deep learning models in safety–critical systems misbehave, serious accidents
may occur. Previous studies have proposed approaches to overcome such misbehavior by …

Deep learning (DL) has become a driving force and has been widely adopted in many
domains and applications with competitive performance. In practice, to solve the nontrivial …

Recently, neural networks have spread into numerous fields including many safety-critical
systems. Neural networks are built (and trained) by programming in frameworks such as …