Abstract: Most modern cybersecurity systems, including intrusion detection, malware classification, anomaly detection, and authentication, utilize machine learning. However, ML models are susceptible ...

Abstract: sQUlearn introduces a user-friendly, noisy intermediate-scale quantum (NISQ)-ready Python library for quantum machine learning (QML), designed for seamless integration with classical machine ...

Standard LLM safety evaluations use single-shot (ASR@1) metrics, but real attackers can exploit parallel sampling to repeatedly probe models. SABER provides a principled statistical framework to: ...

New 2026 report from the engineering hiring platform Second Talent finds AI Agent Engineer is the fastest-growing role ...

Weekly cybersecurity recap covering zero-days, malware, phishing, supply chain attacks, cloud threats, AI security risks, and latest cybercrime trends ...

Background Joint analyses across multiple health datasets can increase statistical power and improve the generalisability of ...