21 citations · 42 across the 14 of their papers we have counts for
7 papers · 2 filters
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…
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…
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…
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…
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…