From the 1 of 10 linked papers with an AI index.
10 papers
Making Time-Sensitive Networking Deployable: A Comprehensive Lifecycle Architecture
Rubi Debnath, Paul Pop, Silviu S. Craciunas +2
Time-Sensitive Networking (TSN) provides deterministic guarantees and bounded latency for safety-critical applications across different domains. While the IEEE 802.1 TSN standards…
Introducing Large Language Models into the Design Flow of Time-Sensitive Networking
Rubi Debnath, Luxi Zhao, Mohammadreza Barzegaran +2
The paper investigates how large language models can be used to automate the design, configuration, and management of Time Sensitive Networking (TSN) systems, presenting a proof‑of…
The Spectrum Strikes Back: Infrared POV Attacks on Traffic Sign Classification
Michael Kühr, Mevlüt Yildirim, Maximilian Luedecke +2
Traffic sign classification is a crucial task for autonomous vehicles, and numerous attacks against it have been identified. A majority of physical adversarial attacks involve atta…
TSNBench: Benchmarking LLM Proficiency in Time-Sensitive Networking
Rubi Debnath, Daniel Bujosa Mateu, Luxi Zhao +3
We present TSNBench, the first benchmark for evaluating large language model (LLM) proficiency in Time-Sensitive Networking (TSN), a suite of IEEE 802.1 standards for deterministic…
Contextualizing Security and Privacy of Software-Defined Vehicles: A Literature Review and Industry Perspectives
Marco De Vincenzi, Mert D. Pesé, Chiara Bodei +6
The growing reliance on software in road vehicles has led to the emergence of Software-Defined Vehicles (SDV). This work analyzes SDV security and privacy through a systematic lite…
Toward Inherently Robust VLMs Against Visual Perception Attacks
Pedram MohajerAnsari, Amir Salarpour, Michael Kühr +6
Autonomous vehicles rely on deep neural networks (DNNs) for traffic sign recognition, lane centering, and vehicle detection, yet these models are vulnerable to attacks that induce…