Generative Artificial Intelligence (Generative AI) offers a paradigm shift to the way robots
perceive and interact with data. Generative AI approaches aim to produce new data samples …

Abstract Structured Query Language (SQL) injection attacks represent a substantial threat to
the security of web applications, making the development of effective detection techniques …

Adversarial attacks involve manipulating data to trick Artificial Intelligence (AI) models,
making false predictions or classifications or even disrupting the normal functions of the …

Federated learning (FL) is a decentralized learning technique that enables participating
devices to collaboratively build a shared Machine Leaning (ML) or Deep Learning (DL) …

In the digital era, with escalating privacy concerns, it's imperative to devise robust strategies
that protect private data while maintaining the intrinsic value of textual information. This …

With the ongoing integration of machine learning models into critical infrastructure, the
resilience of these systems against adversarial attacks is important for all domains. This …

It is essential to create effective strategies for safeguarding private data while preserving the
value of textual data in the face of rising privacy concerns in the digital era. In this research …

Abstract In the Industry 4.0 era, detecting cyber attacks on industrial networks, especially
industrial control systems (ICS), has become increasingly important and challenging. This …