Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures
Fuente:
arXiv
Saved in:
| Main Authors: | Malarkkan, Arun Vignesh, Wang, Dongjie, Bai, Haoyue, Fu, Yanjie |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Causal Graph Profiling via Structural Divergence for Robust Anomaly Detection in Cyber-Physical Systems
by: Malarkkan, Arun Vignesh, et al.
Published: (2025)
by: Malarkkan, Arun Vignesh, et al.
Published: (2025)
Causally-Guided Automated Feature Engineering with Multi-Agent Reinforcement Learning
by: Malarkkan, Arun Vignesh, et al.
Published: (2026)
by: Malarkkan, Arun Vignesh, et al.
Published: (2026)
DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming
by: Malarkkan, Arun Vignesh, et al.
Published: (2025)
by: Malarkkan, Arun Vignesh, et al.
Published: (2025)
Rethinking Spatio-Temporal Anomaly Detection: A Vision for Causality-Driven Cybersecurity
by: Malarkkan, Arun Vignesh, et al.
Published: (2025)
by: Malarkkan, Arun Vignesh, et al.
Published: (2025)
A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective
by: Ying, Wangyang, et al.
Published: (2025)
by: Ying, Wangyang, et al.
Published: (2025)
Causally-Guided Diffusion for Stable Feature Selection
by: Malarkkan, Arun Vignesh, et al.
Published: (2026)
by: Malarkkan, Arun Vignesh, et al.
Published: (2026)
Evolving Demonstration Optimization for Chain-of-Thought Feature Transformation
by: Wang, Xinyuan, et al.
Published: (2026)
by: Wang, Xinyuan, et al.
Published: (2026)
Topology-aware Reinforcement Feature Space Reconstruction for Graph Data
by: Ying, Wangyang, et al.
Published: (2024)
by: Ying, Wangyang, et al.
Published: (2024)
FinRule-Bench: A Benchmark for Joint Reasoning over Financial Tables and Principles
by: Malarkkan, Arun Vignesh, et al.
Published: (2026)
by: Malarkkan, Arun Vignesh, et al.
Published: (2026)
Distribution Shift Aware Neural Tabular Learning
by: Ying, Wangyang, et al.
Published: (2025)
by: Ying, Wangyang, et al.
Published: (2025)
Agentic Feature Augmentation: Unifying Selection and Generation with Teaming, Planning, and Memories
by: Gong, Nanxu, et al.
Published: (2025)
by: Gong, Nanxu, et al.
Published: (2025)
Unsupervised Generative Feature Transformation via Graph Contrastive Pre-training and Multi-objective Fine-tuning
by: Ying, Wangyang, et al.
Published: (2024)
by: Ying, Wangyang, et al.
Published: (2024)
Permutation-Invariant Representation Learning for Robust and Privacy-Preserving Feature Selection
by: Liu, Rui, et al.
Published: (2025)
by: Liu, Rui, et al.
Published: (2025)
Continuous Optimization for Feature Selection with Permutation-Invariant Embedding and Policy-Guided Search
by: Liu, Rui, et al.
Published: (2025)
by: Liu, Rui, et al.
Published: (2025)
Bridging the Domain Gap in Equation Distillation with Reinforcement Feedback
by: Ying, Wangyang, et al.
Published: (2025)
by: Ying, Wangyang, et al.
Published: (2025)
LLM-ML Teaming: Integrated Symbolic Decoding and Gradient Search for Valid and Stable Generative Feature Transformation
by: Wang, Xinyuan, et al.
Published: (2025)
by: Wang, Xinyuan, et al.
Published: (2025)
Knockoff-Guided Feature Selection via A Single Pre-trained Reinforced Agent
by: Wang, Xinyuan, et al.
Published: (2024)
by: Wang, Xinyuan, et al.
Published: (2024)
Revolutionizing Biomarker Discovery: Leveraging Generative AI for Bio-Knowledge-Embedded Continuous Space Exploration
by: Ying, Wangyang, et al.
Published: (2024)
by: Ying, Wangyang, et al.
Published: (2024)
Towards Data-Centric AI: A Comprehensive Survey of Traditional, Reinforcement, and Generative Approaches for Tabular Data Transformation
by: Wang, Dongjie, et al.
Published: (2025)
by: Wang, Dongjie, et al.
Published: (2025)
Data-Efficient Symbolic Regression via Foundation Model Distillation
by: Ying, Wangyang, et al.
Published: (2025)
by: Ying, Wangyang, et al.
Published: (2025)
Sim2Act: Robust Simulation-to-Decision Learning via Adversarial Calibration and Group-Relative Perturbation
by: Cao, Hongyu, et al.
Published: (2026)
by: Cao, Hongyu, et al.
Published: (2026)
Generative AI Meets Future Cities: Towards an Era of Autonomous Urban Intelligence
by: Wang, Dongjie, et al.
Published: (2023)
by: Wang, Dongjie, et al.
Published: (2023)
Online Decentralized Federated Multi-task Learning With Trustworthiness in Cyber-Physical Systems
by: Odeyomi, Olusola, et al.
Published: (2025)
by: Odeyomi, Olusola, et al.
Published: (2025)
GraphKeeper: Graph Domain-Incremental Learning via Knowledge Disentanglement and Preservation
by: Guo, Zihao, et al.
Published: (2025)
by: Guo, Zihao, et al.
Published: (2025)
Causally Sufficient and Necessary Feature Expansion for Class-Incremental Learning
by: Zhang, Zhen, et al.
Published: (2026)
by: Zhang, Zhen, et al.
Published: (2026)
Imbalanced Graph-Level Anomaly Detection via Counterfactual Augmentation and Feature Learning
by: Wang, Zitong, et al.
Published: (2024)
by: Wang, Zitong, et al.
Published: (2024)
Twin Auto-Encoder Model for Learning Separable Representation in Cyberattack Detection
by: Dinh, Phai Vu, et al.
Published: (2024)
by: Dinh, Phai Vu, et al.
Published: (2024)
Towards Robust Out-of-Distribution Generalization: Data Augmentation and Neural Architecture Search Approaches
by: Bai, Haoyue
Published: (2024)
by: Bai, Haoyue
Published: (2024)
Balanced Online Class-Incremental Learning via Dual Classifiers
by: Wen, Shunjie, et al.
Published: (2025)
by: Wen, Shunjie, et al.
Published: (2025)
Graph Evidential Learning for Anomaly Detection
by: Wei, Chunyu, et al.
Published: (2025)
by: Wei, Chunyu, et al.
Published: (2025)
Federated Learning for Efficient Condition Monitoring and Anomaly Detection in Industrial Cyber-Physical Systems
by: Marfo, William, et al.
Published: (2025)
by: Marfo, William, et al.
Published: (2025)
Flowcean - Model Learning for Cyber-Physical Systems
by: Schmidt, Maximilian, et al.
Published: (2026)
by: Schmidt, Maximilian, et al.
Published: (2026)
Learning by Doing: An Online Causal Reinforcement Learning Framework with Causal-Aware Policy
by: Cai, Ruichu, et al.
Published: (2024)
by: Cai, Ruichu, et al.
Published: (2024)
Local Causal Discovery with Linear non-Gaussian Cyclic Models
by: Dai, Haoyue, et al.
Published: (2024)
by: Dai, Haoyue, et al.
Published: (2024)
LLM-Empowered Class Imbalanced Graph Prompt Learning for Online Drug Trafficking Detection
by: Ma, Tianyi, et al.
Published: (2025)
by: Ma, Tianyi, et al.
Published: (2025)
EAGLE: Contrastive Learning for Efficient Graph Anomaly Detection
by: Ren, Jing, et al.
Published: (2025)
by: Ren, Jing, et al.
Published: (2025)
An Efficient Memory Module for Graph Few-Shot Class-Incremental Learning
by: Li, Dong, et al.
Published: (2024)
by: Li, Dong, et al.
Published: (2024)
Cyber-Physical Anomaly Detection in IoT-Enabled Smart Grids Using Machine Learning and Metaheuristic Feature Optimization
by: Alihodžić, Adis, et al.
Published: (2026)
by: Alihodžić, Adis, et al.
Published: (2026)
Causal Concept Graph Models: Beyond Causal Opacity in Deep Learning
by: Dominici, Gabriele, et al.
Published: (2024)
by: Dominici, Gabriele, et al.
Published: (2024)
Continual Reinforcement Learning for Cyber-Physical Systems: Lessons Learned and Open Challenges
by: Nolle, Kim N., et al.
Published: (2025)
by: Nolle, Kim N., et al.
Published: (2025)
Similar Items
-
Causal Graph Profiling via Structural Divergence for Robust Anomaly Detection in Cyber-Physical Systems
by: Malarkkan, Arun Vignesh, et al.
Published: (2025) -
Causally-Guided Automated Feature Engineering with Multi-Agent Reinforcement Learning
by: Malarkkan, Arun Vignesh, et al.
Published: (2026) -
DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming
by: Malarkkan, Arun Vignesh, et al.
Published: (2025) -
Rethinking Spatio-Temporal Anomaly Detection: A Vision for Causality-Driven Cybersecurity
by: Malarkkan, Arun Vignesh, et al.
Published: (2025) -
A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective
by: Ying, Wangyang, et al.
Published: (2025)