Cover Image

Data Driven Diagnosis for Large Cyber-Physical-Systems with Minimal Prior Information

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Steude, Henrik Sebastian, Diedrich, Alexander, Pill, Ingo, Moddemann, Lukas, Vranješ, Daniel, Niggemann, Oliver
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Quantifying Robustness: A Benchmarking Framework for Deep Learning Forecasting in Cyber-Physical Systems
by: Windmann, Alexander, et al.
Published: (2025)

Avionic Main Fuel Pump Simulation and Fault-Diagnosis Benchmark
by: Janzen, Felix Leonhard, et al.
Published: (2026)

Design Principles for Falsifiable, Replicable and Reproducible Empirical ML Research
by: Vranješ, Daniel, et al.
Published: (2024)

AAAI Workshop on AI Planning for Cyber-Physical Systems -- CAIPI24
by: Niggemann, Oliver, et al.
Published: (2024)

Evaluating Large Language Models for Real-World Engineering Tasks
by: Heesch, Rene, et al.
Published: (2025)

Data-Driven Falsification of Cyber-Physical Systems
by: Kundu, Atanu, et al.
Published: (2025)

MAWIFlow Benchmark: Realistic Flow-Based Evaluation for Network Intrusion Detection
by: Schraven, Joshua, et al.
Published: (2025)

Artificial Intelligence in Industry 4.0: A Review of Integration Challenges for Industrial Systems
by: Windmann, Alexander, et al.
Published: (2024)

Bridging Engineering and AI Planning through Model-Based Knowledge Transformation for the Validation of Automated Production System Variants
by: Nabizada, Hamied, et al.
Published: (2025)

Industrial AI Robustness Card for Time Series Models
by: Windmann, Alexander, et al.
Published: (2025)

Retrieval Augmented (Knowledge Graph), and Large Language Model-Driven Design Structure Matrix (DSM) Generation of Cyber-Physical Systems
by: Bank, H. Sinan, et al.
Published: (2026)

Representing Time-Continuous Behavior of Cyber-Physical Systems in Knowledge Graphs
by: Gill, Milapji Singh, et al.
Published: (2025)

Integrating Ontology Design with the CRISP-DM in the context of Cyber-Physical Systems Maintenance
by: Gill, Milapji Singh, et al.
Published: (2024)

Integration of Domain Expert-Centric Ontology Design into the CRISP-DM for Cyber-Physical Production Systems
by: Gill, Milapji Singh, et al.
Published: (2023)

Data-Driven Graph Switching for Cyber-Resilient Control in Microgrids
by: Rath, Suman, et al.
Published: (2024)

Flowcean - Model Learning for Cyber-Physical Systems
by: Schmidt, Maximilian, et al.
Published: (2026)

From Incomplete Architecture to Quantified Risk: Multimodal LLM-Driven Security Assessment for Cyber-Physical Systems
by: Huang, Shaofei, et al.
Published: (2026)

Autonomous Building Cyber-Physical Systems Using Decentralized Autonomous Organizations, Digital Twins, and Large Language Model
by: Ly, Reachsak, et al.
Published: (2024)

FOSSIL: Regret-Minimizing Curriculum Learning for Metadata-Free and Low-Data Mpox Diagnosis
by: Han, Sahng-Min, et al.
Published: (2025)

A Large Language Model-Supported Threat Modeling Framework for Transportation Cyber-Physical Systems
by: Salek, M Sabbir, et al.
Published: (2025)

Survey on Foundation Models for Prognostics and Health Management in Industrial Cyber-Physical Systems
by: Liu, Ruonan, et al.
Published: (2023)

Out of the Cage: How Stochastic Parrots Win in Cyber Security Environments
by: Rigaki, Maria, et al.
Published: (2023)

Towards a Cyber Information Ontology
by: Limbaugh, David, et al.
Published: (2024)

Conservative Prediction via Data-Driven Confidence Minimization
by: Choi, Caroline, et al.
Published: (2023)

Latent Action Priors for Locomotion with Deep Reinforcement Learning
by: Hausdörfer, Oliver, et al.
Published: (2024)

A Multi-Scale Attention-Based Attack Diagnosis Mechanism for Parallel Cyber-Physical Attacks in Power Grids
by: Ren, Junhao, et al.
Published: (2025)

CDS: Knowledge Component-Driven Data Synthesis Guided by Cognitive Diagnosis Theory
by: Zhao, Haokun, et al.
Published: (2025)

SafePilot: A Framework for Assuring LLM-enabled Cyber-Physical Systems
by: Xu, Weizhe, et al.
Published: (2026)

Blending Data-Driven Priors in Dynamic Games
by: Lidard, Justin, et al.
Published: (2024)

INVARLLM: LLM-assisted Physical Invariant Extraction for Cyber-Physical Systems Anomaly Detection
by: Abshari, Danial, et al.
Published: (2024)

Large Language Models are Autonomous Cyber Defenders
by: Castro, Sebastián R., et al.
Published: (2025)

StreamLink: Large-Language-Model Driven Distributed Data Engineering System
by: Feng, Dawei, et al.
Published: (2025)

Control Synthesis of Cyber-Physical Systems for Real-Time Specifications through Causation-Guided Reinforcement Learning
by: Tang, Xiaochen, et al.
Published: (2025)

Multi-Agent Optimization for Safety Analysis of Cyber-Physical Systems: Position Paper
by: Gürcan, Önder, et al.
Published: (2024)

Online Decentralized Federated Multi-task Learning With Trustworthiness in Cyber-Physical Systems
by: Odeyomi, Olusola, et al.
Published: (2025)

Cyber-Physical Systems Security: A Comprehensive Review of Anomaly Detection Techniques
by: Abshari, Danial, et al.
Published: (2025)

Continual Reinforcement Learning for Cyber-Physical Systems: Lessons Learned and Open Challenges
by: Nolle, Kim N., et al.
Published: (2025)

Cyber Physical Games
by: Sritriratanarak, Warisa, et al.
Published: (2024)

APC-RL: Exceeding Data-Driven Behavior Priors with Adaptive Policy Composition
by: Rietz, Finn, et al.
Published: (2026)

Unsupervised Speech Enhancement using Data-defined Priors
by: Klement, Dominik, et al.
Published: (2025)