80 citations · 104 across the 21 of their papers we have counts for
7 papers · 1 filter
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, Rehana Yasmin +2
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…
Scalable Malware Family Classification Using Quantum Kernel Based Machine Learning
Ratun Rahman, Hassan Jalil Hadi, Christopher Gabriel Pedraza Pohlenz +1
The classification of malware families is a key challenge in cybersecurity, which enables threat attribution, analysis of attack operations, and the formulation of effective defens…
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,…
LCC-LLM: Leveraging Code-Centric Large Language Models for Malware Attribution
Christopher G. Pedraza Pohlenz, Hassan Jalil Hadi, Ali Hassan +1
LLMs are increasingly explored for malware analysis; however, current LLM-based malware attribution remains limited by unsupported indicators and insufficient code-level grounding…
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…