539 citations · 885 across the 37 of their papers we have counts for
18 papers · 1 filter
DEFEND: Poisoned Model Detection and Malicious Client Exclusion Mechanism for Secure Federated Learning-based Road Condition Classification
Sheng Liu, Panos Papadimitratos
Federated Learning (FL) has drawn the attention of the Intelligent Transportation Systems (ITS) community. FL can train various models for ITS tasks, notably camera-based Road Cond…
Beyond Context: Large Language Models' Failure to Grasp Users' Intent
Ahmed M. Hussain, Salahuddin Salahuddin
Current Large Language Models (LLMs) safety approaches focus on explicitly harmful content while overlooking a critical vulnerability: the inability to understand context and recog…
Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection
Konstantinos Kalogiannis, Ahmed Mohamed Hussain, Hexu Li +1
Vehicular platooning promises transformative improvements in transportation efficiency and safety through the coordination of multi-vehicle formations enabled by Vehicle-to-Everyth…
Coordinated Position Falsification Attacks and Countermeasures for Location-Based Services
Wenjie Liu, Panos Papadimitratos
With the rise of location-based service (LBS) applications that rely on terrestrial and satellite infrastructures (e.g., GNSS and crowd-sourced Wi-Fi, Bluetooth, cellular, and IP d…
Jailbreaking Large Language Models Through Content Concretization
Johan Wahréus, Ahmed Hussain, Panos Papadimitratos
Large Language Models (LLMs) are increasingly deployed for task automation and content generation, yet their safety mechanisms remain vulnerable to circumvention through different…
LLUAD: Low-Latency User-Anonymized DNS
Philip Sjösvärd, Hongyu Jin, Panos Papadimitratos
The Domain Name System (DNS) is involved in practically all web activity, translating easy-to-remember domain names into Internet Protocol (IP) addresses. Due to its central role o…
NEFMind: Parameter-Efficient Fine-Tuning of Open-Source LLMs for Telecom APIs Automation
Zainab Khan, Ahmed Hussain, Mukesh Thakur +2
The use of Service-Based Architecture in modern telecommunications has exponentially increased Network Functions (NFs) and Application Programming Interfaces (APIs), creating subst…
GNSS Spoofing Detection Based on Opportunistic Position Information
Wenjie Liu, Panos Papadimitratos
The limited or no protection for civilian Global Navigation Satellite System (GNSS) signals makes spoofing attacks relatively easy. With modern mobile devices often featuring netwo…
Accountable, Scalable and DoS-resilient Secure Vehicular Communication
Hongyu Jin, Panos Papadimitratos
Paramount to vehicle safety, broadcasted Cooperative Awareness Messages (CAMs) and Decentralized Environmental Notification Messages (DENMs) are pseudonymously authenticated for se…
AttentionGuard: Transformer-based Misbehavior Detection for Secure Vehicular Platoons
Hexu Li, Konstantinos Kalogiannis, Ahmed Mohamed Hussain +1
Vehicle platooning, with vehicles traveling in close formation coordinated through Vehicle-to-Everything (V2X) communications, offers significant benefits in fuel efficiency and ro…
Guardian Positioning System (GPS) for Location Based Services
Wenjie Liu, Panos Papadimitratos
Location-based service (LBS) applications proliferate and support transportation, entertainment, and more. Modern mobile platforms, with smartphones being a prominent example, rely…
Privacy-Preserving Secure Neighbor Discovery for Wireless Networks
Ahmed Mohamed Hussain, Panos Papadimitratos
Traditional Neighbor Discovery (ND) and Secure Neighbor Discovery (SND) are key elements for network functionality. SND is a hard problem, satisfying not only typical security prop…
Prompt, Divide, and Conquer: Bypassing Large Language Model Safety Filters via Segmented and Distributed Prompt Processing
Johan Wahréus, Ahmed Hussain, Panos Papadimitratos
Large Language Models (LLMs) have transformed task automation and content generation across various domains while incorporating safety filters to prevent misuse. We introduce a nov…
GNSS jammer localization and identification with airborne commercial GNSS receivers
Marco Spanghero, Filip Geib, Ronny Panier +1
Global Navigation Satellite Systems (GNSS) are fundamental in ubiquitously providing position and time to a wide gamut of systems. Jamming remains a realistic threat in many deploy…
LLMs Have Rhythm: Fingerprinting Large Language Models Using Inter-Token Times and Network Traffic Analysis
Saeif Alhazbi, Ahmed Mohamed Hussain, Gabriele Oligeri +1
As Large Language Models (LLMs) become increasingly integrated into many technological ecosystems across various domains and industries, identifying which model is deployed or bein…
Time-based GNSS attack detection
Marco Spanghero, Panos Papadimitratos
To safeguard Civilian Global Navigation Satellite Systems (GNSS) external information available to the platform encompassing the GNSS receiver can be used to detect attacks. Cross-…
Consumer INS Coupled with Carrier Phase Measurements for GNSS Spoofing Detection
Tore Johansson, Marco Spanghero, Panos Papadimitratos
Global Navigation Satellite Systems enable precise localization and timing even for highly mobile devices, but legacy implementations provide only limited support for the new gener…
CySecBench: Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language Models
Johan Wahréus, Ahmed Mohamed Hussain, Panos Papadimitratos
Numerous studies have investigated methods for jailbreaking Large Language Models (LLMs) to generate harmful content. Typically, these methods are evaluated using datasets of malic…