Deep learning methods can generate high-quality synthetic speech which is perceptually indistinguishable from real human speech. Synthetic speech can be maliciously used for fraud. Synthetic speech detection methods have been proposed which perform well ...

The advent of Large Language Models (LLMs) has enabled advancement in automated code generation, translation, and summarization. Despite their promise, evaluating the use of LLMs in repairing real-world code vulnerabilities remains underexplored. In this ...

Malware analysis researchers are currently focused on the design and development of innovative approaches to detect zero-day malware, with particular regard to mobile environments. It is widely recognized that existing free and commercial anti-malware ...

As the usage of user-private-data is increasingly monitored by regulatory institutions for security purposes, its transfer becomes more constrained. Synthetic data has recently emerged as a viable alternative to prevent the disclosure of user-protected ...

Anomaly detection for multivariate time series is an essential task in the modern industrial field. Although several methods have been developed for anomaly detection, they usually fail to effectively exploit the metrical-temporal correlation and the ...

Abstract Recent advancements in face recognition (FR) technology in surveillance systems make it possible to monitor a person as they move around. FR gathers a lot of information depending on the quantity and data sources. The most severe privacy concern ...

For high dynamic range (HDR) imaging, the processing of dynamic images is a tedious task. Motion artifacts, loss of detail and color distortion in the reconstructed results may occur due to foreground motion and camera shake. In this paper, a channel ...

In order to satisfy the real-time and accurate requirements of cigarette smoke detection in complex scenes, a cigarette smoke detection technology based on the combination of deep learning and color features was proposed. Firstly, based on the color ...

Tuberculosis is a highly contagious deadly disease. However, early detection and treatment can significantly improve the patient's survival rates. Currently, chest X-rays are the primary method used to diagnose TB, due to their convenience and speed. ...

Deep learning-based methods have been widely used in product surface defect detection tasks. Recently, end-to-end mixed supervision networks based on end-to-end have performed well in industrial surface defect detection tasks, achieving better results ...

Pre-trained Machine Learning (ML) models help to create ML-intensive systems without having to spend conspicuous resources on training a new model from the ground up. However, the lack of transparency for such models could lead to undesired consequences ...

Code comments are essential for programming comprehension. Nevertheless, developers often neglect to update comments after modifying the source code. Wrong code comments may lead to bugs in the maintenance process, thus affecting the reliability of the ...

Code comments are important for developers in program comprehension. In scenarios of comprehending and reusing a method, developers expect code comments to provide supplementary information beyond the method signature. However, the extent of such ...

Deep learning techniques applied to program analysis tasks such as code classification, summarization, and bug detection have seen widespread interest. Traditional approaches, however, treat programming source code as natural language text, which may ...

To foster the verifiability and testability of Deep Neural Networks (DNN), an increasing number of methods for test case generation techniques are being developed.

When confronted with testing DNN models, the user can apply any existing test generation ...

Software testing is one of the most crucial parts of the software development life cycle. Developers spend substantial amount of time and efforts on software testing. Recently, there has been a growing scholarly interest in the automation of software ...

Drug discovery is a challenging process, requiring the optimization of compounds to become safe and effective. Predicting molecular properties is an indispensable step in the drug discovery pipeline. Traditionally, this process is costly, involving ...

High-speed and robust Multiple-Input Multiple-Output (MIMO)-Orthogonal Frequency-Division Multiplexing (OFDM) communication in time-varying Underwater Acoustics (UWAs) remains a challenging puzzle. Time-varying channels and moving transceivers cause ...

Hip fractures have profound impacts on patients’ conditions and quality of life, even when they receive therapeutic treatments. Many patients face the risk of poor prognosis, physical impairment, and even mortality, especially older patients. Accurate ...

In recent years, AI has undergone significant changes. Firstly, there is a growing recognition of the need to deploy inference models based on Deep Neural Networks (DNNs) on edge devices. Secondly, there is an increasing demand for low-energy inferencing ...