17 citations · 26 across the 13 of their papers we have counts for
16 papers
Lights, Camera, Attack: Exploiting Temporal HDR Fusion with Pulsed Light
Alkim Domeke, Michael Kuhr, Roman Gilliatt +5
Modern cameras widely use temporal High Dynamic Range (HDR) to improve visibility by capturing a sequence of exposures with different integration times and fusing them into a singl…
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…
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…
Introducing Large Language Models into the Design Flow of Time-Sensitive Networking
Rubi Debnath, Luxi Zhao, Mohammadreza Barzegaran +2
The growing demand for real-time, safety-critical systems has significantly increased both the adoption and complexity of Time-Sensitive Networking (TSN). Configuring an optimized…
Towards an Optimized Multi-Cyclic Queuing and Forwarding in Time Sensitive Networking with Time Injection
Rubi Debnath, Mohammadreza Barzegaran, Sebastian Steinhorst
Cyclic Queuing and Forwarding (CQF) is a Time-Sensitive Networking (TSN) shaping mechanism that provides bounded latency and deterministic Quality of Service (QoS). However, CQF's…
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…
FuzzSense: Towards A Modular Fuzzing Framework for Autonomous Driving Software
Andrew Roberts, Lorenz Teply, Mert D. Pese +3
Fuzz testing to find semantic control vulnerabilities is an essential activity to evaluate the robustness of autonomous driving (AD) software. Whilst there is a preponderance of di…
Learning-Based Traffic Classification for Mixed-Critical Flows in Time-Sensitive Networking
Rubi Debnath, Luxi Zhao, Sebastian Steinhorst
Time-Sensitive Networking (TSN) supports multiple traffic types with diverse timing requirements, such as hard real-time (HRT), soft real-time (SRT), and Best Effort (BE) within a…
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…
CyclicSim: Comprehensive Evaluation of Cyclic Shapers in Time-Sensitive Networking
Rubi Debnath, Luxi Zhao, Mohammadreza Barzegaran +1
Cyclic Queuing and Forwarding (CQF) is a key Time-Sensitive Networking (TSN) shaping mechanism that ensures bounded latency using a simple gate control list (GCL). Recently, varian…
SoK: Security of the Image Processing Pipeline for Camera-based Sensing in Autonomous Vehicles
Michael Kühr, Mohammad Hamad, Pedram MohajerAnsari +2
Cameras capture images that are essential for many safety-critical tasks. To process these images, a complex pipeline with multiple layers is used. Security attacks on this pipelin…
PTPsec: Securing the Precision Time Protocol Against Time Delay Attacks Using Cyclic Path Asymmetry Analysis
Andreas Finkenzeller, Oliver Butowski, Emanuel Regnath +2
High-precision time synchronization is a vital prerequisite for many modern applications and technologies, including Smart Grids, Time-Sensitive Networking (TSN), and 5G networks.…
REACT: Autonomous Intrusion Response System for Intelligent Vehicles
Mohammad Hamad, Andreas Finkenzeller, Michael Kühr +4
Autonomous and connected vehicles are rapidly evolving, integrating numerous technologies and software. This progress, however, has made them appealing targets for cybersecurity at…
Quantifying the Impact of Frame Preemption on Combined TSN Shapers
Rubi Debnath, Philipp Hortig, Luxi Zhao +1
Different scheduling mechanisms in Time Sensitive Networking (TSN) can be integrated together to design and support complex architectures with enhanced capabilities for mixed criti…
Security Challenges in Autonomous Systems Design
Mohammad Hamad, Sebastian Steinhorst
Autonomous systems are emerging in many application domains. With the recent advancements in artificial intelligence and machine learning, sensor technology, perception algorithms…