Reactive defense mechanisms, such as intrusion detection systems, have made significant
efforts to secure a system or network for the last several decades. However, the nature of …

Artificial intelligence (AI) is envisioned to play a pivotal role in empowering intelligent,
adaptive and autonomous security management in 5G and beyond networks, thanks to its …

Based on emerging Artificial Intelligence (AI) tasks, cloud-edge-terminal architecture can
provide powerful computing, intelligent interconnection, and real-time response, which can …

Today, most autonomous vehicles (AVs) rely on LiDAR (Light Detection and Ranging)
perception to acquire accurate information about their immediate surroundings. In LiDAR …

Robustness to adversarial examples of machine learning models remains an open topic of
research. Attacks often succeed by repeatedly probing a fixed target model with adversarial …

Deep neural networks (DNNs) have recently achieved impressive success across a wide
range of real-world vision and language processing tasks, spanning from image …

Moving target defense (MTD) in power grids is an emerging defense technique that has
gained prominence in the recent past. It aims to solve the long-standing problem of securing …

Deep learning-based visual sensing has achieved attractive accuracy but is shown
vulnerable to adversarial attacks. Specifically, once the attackers obtain the deep model …

Edge intelligence has played an important role in constructing smart cities, but the
vulnerability of edge nodes to adversarial attacks becomes an urgent problem. A so-called …

This article deals with the IT security of connectionist artificial intelligence (AI) applications,
focusing on threats to integrity, one of the three IT security goals. Such threats are for …