Intrusion detection is an effective means of ensuring the proper functioning of industrial
control systems (ICSs). Most intrusion detection algorithms learn the historical ICS data to …

The recent development of generative art, a typical category of artificial intelligence-
generated content (AIGC), is essentially beneficial for social good, which can help amateurs …

In recent years, industrial control systems have evolved toward stability and efficiency,
increasing industrial control systems interconnected with the Internet, which means that …

The construction of undetectable adversarial examples with few perturbances remains a
difficult problem in adversarial attacks. At present, most solutions use the standard gradient …

Targeting to produce new features from limited data, few-shot feature generation
approaches have attracted extensive attention and successfully mitigated the high cost of …

In federated learning (FL), multiple clients use local datasets to train models and submit
local gradients to the server for aggregation. However, malicious clients may compromise …

In recent years, malware detection has become an active research topic in the area of
Internet of Things (IoT) security. The principle is to exploit knowledge from large quantities of …

Generative Adversarial Networks (GANs) have the ability to generate images that are
visually indistinguishable from real images. However, recent studies have revealed that …

Federated learning (FL), as a distributed machine learning paradigm, enables on-device
model training and inference without data updates or privacy breaches, promoting edge …

One area of current research on adversarial attacks is how to generate plausible adversarial
examples when only a small number of datasets are available. Current adversarial attack …