Microsoft

Detecting backdoored language models at scale

Learn how Microsoft research uncovers backdoor risks in language models and introduces a practical scanner to detect tampering and strengthen AI security.

OT–IT Cybersecurity: Navigating The New Frontier Of Risk

Information technology (IT) and operational technology (OT) are no longer separate sectors that determine the cybersecurity ...
IEEE

Privacy-Preserving Intrusion Detection for Cyber-Physical Systems via Federated Learning and Hybrid Knowledge Distillation

Abstract: The rapid adoption of cyber-physical systems has significantly increased the deployment of Internet of Things (IoT) devices, thereby expanding the potential surface for cyber intrusions.
IEEE

Event-Driven Intrusion Detection Systems using Spiking Neural Networks for Edge and IoT Security

Abstract: The rapid growth of Internet of Things (IoT) devices and the increasing difficulty of cyber-attacks highlight the need for novel, energy-efficient, and real-time Intrusion Detection Systems ...
Oak Ridge National Lab

Adaptive Anomaly Detection for Identifying Attacks in Cyber-Physical Systems: A Systematic Literature Review

Modern cyberattacks in cyber-physical systems (CPS) rapidly evolve and cannot be deterred effectively with most current methods which focused on characterizing past threats. Adaptive anomaly detection ...