Abstract: Deep learning is increasingly adopted in future communication systems to meet requirements within constrained resources. End-to-end (E2E) autoencoder models leverage deep neural networks for ...

While there have been some recent developments in the use of AI tools to create malware and automate breaches from start to finish, the latest quarterly threat report from OpenAI finds that foreign ...

Institute for Biomedical Materials and Devices (IBMD), Faculty of Science, University of Technology Sydney, Sydney, NSW 2007, Australia ARC Centre of Excellence in Quantum Biotechnology (QUBIC), ...

Abstract: The increasing reliance on Machine Learning (ML) for malware detection has enhanced security across various computing environments. However, these models remain vulnerable to adversarial ...

Russian hackers' adoption of artificial intelligence (AI) in cyber attacks against Ukraine has reached a new level in the first half of 2025 (H1 2025), the country's State Service for Special ...

Antwerp Engineering, Photoelectrochemistry and Sensing (A-PECS), Department of Bioscience Engineering, University of Antwerp, Antwerp 2020, Belgium ...