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From the 1 of 10 linked papers with an AI index.

collaborators

10 papers

cs.NI2026

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…

cs.NI2026

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…

cs.CR2026

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…

cs.NI2026

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…

cs.CR2026

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…

cs.CV2026

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…