Although conventional false data injection attacks can circumvent the detection of bad data
detection (BDD) in sustainable power grid cyber physical systems, they are easily detected …

In today's digital era, advancements in technology have led to unparalleled levels of
connectivity, but have also brought forth a new wave of cyber threats. Network Intrusion …

Artificial intelligence (AI) technologies have been applied to the Internet of Vehicles (IoV) to
provide convenience services such as traffic flow prediction. However, concerns regarding …

Online Social Networks (OSNs) face escalating security threats that imperil user privacy.
Conventional Deep Learning methods, relying predominantly on fixed learning rates …

Federated learning (FL) enables clients to train models locally, enhancing privacy by
avoiding data centralization. Traditional FL assumes all clients have adequate resources, an …

Modern applications are increasingly driven by Machine Learning (ML) models whose non-
deterministic behavior is affecting the entire application life cycle from design to operation …

The rapid progress in wearable sensors, smartphones equipped with sensors, and
seamless cloud integration has ignited significant research into the creation of IoT-driven …

In most tropical climates, one of the most serious natural dangers that negatively impacts
agricultural operations in coastal regions is increasing sea levels because of climate …

We present Timber, the first white-box poisoning attack targeting decision trees. Timber is
based on a greedy attack strategy leveraging sub-tree retraining to efficiently estimate the …

Modern applications are increasingly driven by Machine Learning (ML) models whose non-
deterministic behavior is affecting the entire application life cycle from design to operation …