7 papers
Herding End-to-End Autonomous Driving via Neuro-Symbolic Safety Guards
Simón Patiño Idarraga, Erick Silva, Rehana Yasmin +1
Modern end-to-end driving agents can achieve high average performance yet still violate basic traffic rules that a human driver would never miss. The reason is structural: they lea…
FedRings: A Scalable and Topology-Aware Federated Learning Framework for LEO Satellite Constellations
Ziwu Liu, Inês Pinto Gouveia, Inês Pinto Gouveia +3
Federated learning over low Earth orbit (LEO) satellite networks is limited by frequent link changes, short contact times, and a highly dynamic topology, making centralized or sync…
GenTI: Benchmarking LLMs for Autonomous IDPS Rule Generation for Unseen Attacks
Hassan Jalil Hadi, Rehana Yasmin, Ali Shoker
Rule-based Intrusion Detection and Prevention Systems (IDPS) offer precise attack detection as well as mitigation, however their manually crafted, signature-driven rules limit adap…
Toward Space-Based Public Key Systems: Enabling Secure Space Communications through In-Orbit Trust Services
Rehana Yasmin, Paulo Esteves-Verissimo, Ali Shoker
The New Space era has led to a rapid increase in satellites operated by independent entities in near-Earth orbit. This shift enables richer space services but also requires secure,…
CRASH: Cognitive Reasoning Agent for Safety Hazards in Autonomous Driving
Erick Silva, Rehana Yasmin, Ali Shoker
As AVs grow in complexity and diversity, identifying the root causes of operational failures has become increasingly complex. The heterogeneity of system architectures across manuf…
EVOLVE: a Value-Added Services Platform for Electric Vehicle Charging Stations
Erick Silva, Tadeu Freitas, Rehana Yasmin +2
A notable challenge in Electric Vehicle (EV) charging is the time required to fully charge the battery, which can range from 15 minutes to 2-3 hours. This idle period, however, pre…