Adversarial machine learning based partial-model attack in IoT
As Internet of Things (IoT) has emerged as the next logical stage of the Internet, it has
become imperative to understand the vulnerabilities of the IoT systems when supporting …
become imperative to understand the vulnerabilities of the IoT systems when supporting …
Unraveling Attacks to Machine Learning-Based IoT Systems: A Survey and the Open Libraries Behind Them
The advent of the Internet of Things (IoT) has brought forth an era of unprecedented
connectivity, with an estimated 80 billion smart devices expected to be in operation by the …
connectivity, with an estimated 80 billion smart devices expected to be in operation by the …
Toward secure and efficient deep learning inference in dependable IoT systems
The rapid development of deep learning (DL) enables resource-constrained systems and
devices [eg, Internet of Things (IoT)] to perform sophisticated artificial intelligence (AI) …
devices [eg, Internet of Things (IoT)] to perform sophisticated artificial intelligence (AI) …
A holistic review of machine learning adversarial attacks in IoT networks
With the rapid advancements and notable achievements across various application
domains, Machine Learning (ML) has become a vital element within the Internet of Things …
domains, Machine Learning (ML) has become a vital element within the Internet of Things …
Data poisoning attacks on federated machine learning
Federated machine learning which enables resource-constrained node devices (eg, Internet
of Things (IoT) devices and smartphones) to establish a knowledge-shared model while …
of Things (IoT) devices and smartphones) to establish a knowledge-shared model while …
[HTML][HTML] Adversarial machine learning in IoT from an insider point of view
With the rapid progress and significant successes in various applications, machine learning
has been considered a crucial component in the Internet of Things ecosystem. However …
has been considered a crucial component in the Internet of Things ecosystem. However …
IoT network security from the perspective of adversarial deep learning
Machine learning finds rich applications in Internet of Things (IoT) networks such as
information retrieval, traffic management, spectrum sensing, and signal authentication. While …
information retrieval, traffic management, spectrum sensing, and signal authentication. While …
A robust deep-learning-enabled trust-boundary protection for adversarial industrial IoT environment
In recent years, trust-boundary protection has become a challenging problem in Industrial
Internet of Things (IIoT) environments. Trust boundaries separate IIoT processes and data …
Internet of Things (IIoT) environments. Trust boundaries separate IIoT processes and data …
FDA: Federated Defense Against Adversarial Attacks for Cloud-Based IIoT Applications
Along with the proliferation of artificial intelligence and Internet of things (IoT) techniques,
various kinds of adversarial attacks are increasingly emerging to fool deep neural networks …
various kinds of adversarial attacks are increasingly emerging to fool deep neural networks …
Hierarchical adversarial attacks against graph-neural-network-based IoT network intrusion detection system
The advancement of Internet of Things (IoT) technologies leads to a wide penetration and
large-scale deployment of IoT systems across an entire city or even country. While IoT …
large-scale deployment of IoT systems across an entire city or even country. While IoT …