IEEE

Adversarial Attacks Resilient Machine Learning-Enabled Access Control Scheme for Consumer Electronics in IoT-Based Applications

Abstract: Consumer Electronics (CE) have become integral to the evolving Internet of Things (IoT) ecosystem, providing enhanced security, interoperability, and intelligence through machine learning ...
marktechpost

A Coding Implementation to Train Safety-Critical Reinforcement Learning Agents Offline Using Conservative Q-Learning with d3rlpy and Fixed Historical Data

In this tutorial, we build a safety-critical reinforcement learning pipeline that learns entirely from fixed, offline data rather than live exploration. We design a custom environment, generate a ...
IEEE

Detecting and Mitigating Adversarial Machine Learning Attacks in Autonomous Vehicles Within the Internet of Vehicles

Abstract: Adversarial Machine Learning (AML), particularly model poisoning, presents a critical threat to Autonomous Vehicles (AVs) in the Internet of Vehicles (IoV) environment. To address this ...