The performance of the Machine learning and Deep learning models heavily depends on
the quality and quantity of the training data. However, real-world datasets often contain a …

Object detection (OD) models are seamlessly integrated into numerous intelligent software
systems, playing a crucial role in various tasks. These models are typically constructed upon …

Deep learning (DL) techniques have achieved significant success in various software
engineering tasks (eg, code completion by Copilot). However, DL systems are prone to bugs …

Large language models (LLMs) achieved great success in multiple application domains and
attracted huge attention from different research communities recently. Unfortunately, even for …

Deep learning has revolutionized numerous fields, yet the reliability of Deep Neural
Networks (DNNs) remains a concern due to their complexity and data dependency …