539 citations · 885 across the 37 of their papers we have counts for
29 papers · 1 filter
Poster: FedWM-Guard: Thwarting Imagination Poisoning in Federated World Model-based Autonomous Driving
Sheng Liu, Panos Papadimitratos
Federated learning (FL) can improve world model (WM)-based autonomous driving (AD) without centralizing raw private vehicle data, but it also turns model aggregation into a safety-…
PAMPOS: Causal Transformer-based Trajectory Prediction for Attack-Agnostic Misbehavior Detection in V2X Networks
Konstantinos Kalogiannis, Ahmed Mohamed Hussain, Panos Papadimitratos
Misbehavior detection in Vehicle-to-Everything (V2X) networks is a second line of defense against insider falsification attacks that cryptographic mechanisms alone cannot address.…
FedTrident: Resilient Road Condition Classification Against Poisoning Attacks in Federated Learning
Sheng Liu, Panos Papadimitratos
FL has emerged as a transformative paradigm for ITS, notably camera-based Road Condition Classification (RCC). However, by enabling collaboration, FL-based RCC exposes the system t…
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…
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…
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…
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…
Protecting Cryptographic Libraries against Side-Channel and Code-Reuse Attacks
Rodothea Myrsini Tsoupidi, Elena Troubitsyna, Panos Papadimitratos
Cryptographic libraries, an essential part of cybersecurity, are shown to be susceptible to different types of attacks, including side-channel and memory-corruption attacks. In thi…
Position-based Rogue Access Point Detection
Wenjie Liu, Panos Papadimitratos
Rogue Wi-Fi access point (AP) attacks can lead to data breaches and unauthorized access. Existing rogue AP detection methods and tools often rely on channel state information (CSI)…
Radio Frequency Fingerprinting via Deep Learning: Challenges and Opportunities
Saeif Al-Hazbi, Ahmed Hussain, Savio Sciancalepore +2
Radio Frequency Fingerprinting (RFF) techniques promise to authenticate wireless devices at the physical layer based on inherent hardware imperfections introduced during manufactur…
Resilient Privacy Protection for Location-Based Services through Decentralization
Hongyu Jin, Panos Papadimitratos
Location-Based Services (LBSs) provide valuable services, with convenient features for mobile users. However, the location and other information disclosed through each query to the…
Evaluating On-demand Pseudonym Acquisition Policies in Vehicular Communication Systems
Mohammad Khodaei, Panos Papadimitratos
Standardization and harmonization efforts have reached a consensus towards using a special-purpose Vehicular Public-Key Infrastructure (VPKI) in upcoming Vehicular Communication (V…
Towards Deploying a Scalable & Robust Vehicular Identity and Credential Management Infrastructure
Mohammad Khodaei, Hongyu Jin, Panos Papadimitratos
Several years of academic and industrial research efforts have converged to a common understanding on fundamental security building blocks for the upcoming Vehicular Communication…