Cover Image

Rethinking Spatio-Temporal Anomaly Detection: A Vision for Causality-Driven Cybersecurity

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Malarkkan, Arun Vignesh, Bai, Haoyue, Wang, Xinyuan, Kaushik, Anjali, Wang, Dongjie, Fu, Yanjie
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Emerging Technologies Neural and Evolutionary Computing F.2.2, I.2.7, I.2.4, I.2.1
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming
by: Malarkkan, Arun Vignesh, et al.
Published: (2025)

Hybrid Genetic Algorithm for Optimal User Order Routing: Multi-Objective Solver Optimization in CoW Protocol Batch Auctions
by: Marfinetz, Mitchell
Published: (2025)

BACE: LLM-based Code Generation through Bayesian Anchored Co-Evolution of Code and Test Populations
by: Silva, Kaushitha, et al.
Published: (2026)

PC-SNN: Predictive Coding-based Local Hebbian Plasticity Learning in Spiking Neural Networks
by: Wang, Haidong, et al.
Published: (2022)

Tensor Logic: The Language of AI
by: Domingos, Pedro
Published: (2025)

Evolving Programmatic Skill Networks
by: Shi, Haochen, et al.
Published: (2026)

Interactive LLM-assisted Curriculum Learning for Multi-Task Evolutionary Policy Search
by: Sakallioglu, Berfin, et al.
Published: (2026)

From Basic Affordances to Symbolic Thought: A Computational Phylogenesis of Biological Intelligence
by: Hummel, John E., et al.
Published: (2025)

Multi-Marginal Stochastic Flow Matching for High-Dimensional Snapshot Data at Irregular Time Points
by: Lee, Justin, et al.
Published: (2025)

The Paradox of Success in Evolutionary and Bioinspired Optimization: Revisiting Critical Issues, Key Studies, and Methodological Pathways
by: Molina, Daniel, et al.
Published: (2025)

Unsupervised Particle Tracking with Neuromorphic Computing
by: Coradin, Emanuele, et al.
Published: (2025)

Eventprop training for efficient neuromorphic applications
by: Shoesmith, Thomas, et al.
Published: (2025)

An island-parallel ensemble metaheuristic algorithm for large graph coloring problems
by: Dokeroglu, Tansel, et al.
Published: (2025)

Federated Few-Shot Learning on Neuromorphic Hardware: An Empirical Study Across Physical Edge Nodes
by: Motta, Steven, et al.
Published: (2026)

Learning Neuron Dynamics within Deep Spiking Neural Networks
by: Jahns, Eric, et al.
Published: (2025)

EvoPruneDeepTL: An Evolutionary Pruning Model for Transfer Learning based Deep Neural Networks
by: Poyatos, Javier, et al.
Published: (2022)

Breaking Validity-Induced Boundaries to Expand Algorithm Search Space: A Two-Stage AST-Based Operator for LLM-Driven Automated Heuristic Evolution
by: Shengming, Sun, et al.
Published: (2026)

Persistent Memory Through Triple-Loop Consolidation in a Non-Gradient Dissipative Cognitive Architecture
by: Lou, Jianwei
Published: (2026)

Evolved Developmental Artificial Neural Networks for Multitasking with Advanced Activity Dependence
by: Zhang, Yintong, et al.
Published: (2024)

Reward-Modulated Local Learning in Spiking Encoders: Controlled Benchmarks with STDP and Hybrid Rate Readouts
by: Chakraborty, Debjyoti
Published: (2026)

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models
by: Forniés-Tabuenca, Diego, et al.
Published: (2025)

Enhanced Protein Intrinsic Disorder Prediction Through Dual-View Multiscale Features and Multi-objective Evolutionary Algorithm
by: Wang, Shaokuan, et al.
Published: (2026)

CodeEvolve: an open source evolutionary coding agent for algorithmic discovery and optimization
by: Assumpção, Henrique, et al.
Published: (2025)

Deep Convolutional Autoencoder for Assessment of Drive-Cycle Anomalies in Connected Vehicle Sensor Data
by: Geglio, Anthony, et al.
Published: (2022)

Gyan: An Explainable Neuro-Symbolic Language Model
by: Srinivasan, Venkat, et al.
Published: (2026)

CoupleEvo: Evolving Heuristics for Coupled Optimization Problems Using Large Language Models
by: Bömer, Thomas, et al.
Published: (2026)

Vector Symbolic Architectures answer Jackendoff's challenges for cognitive neuroscience
by: Gayler, Ross W.
Published: (2004)

Random-Key Algorithms for Optimizing Integrated Operating Room Scheduling
by: Vieira, Bruno Salezze, et al.
Published: (2025)

EvoIQA - Explaining Image Distortions with Evolved White-Box Logic
by: Gupta, Ruchika, et al.
Published: (2026)

Accelerating Model-Based Reinforcement Learning with State-Space World Models
by: Krinner, Maria, et al.
Published: (2025)

Multiobjective Evolutionary Pruning of Deep Neural Networks with Transfer Learning for improving their Performance and Robustness
by: Poyatos, Javier, et al.
Published: (2023)

Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity
by: Bhandari, Shailendra, et al.
Published: (2024)

Adaptive Surrogate-Based Strategy for Accelerating Convergence Speed when Solving Expensive Unconstrained Multi-Objective Optimisation Problems
by: Banda, Tiwonge Msulira, et al.
Published: (2026)

A Technical Note on the Architectural Effects on Maximum Dependency Lengths of Recurrent Neural Networks
by: Kent, Jonathan S., et al.
Published: (2024)

Controlling Recurrent Neural Networks by Conceptors
by: Jaeger, Herbert
Published: (2014)

Associative Constructive Evolution: Enhancing Metaheuristics through Hebbian-Learned Generative Guidance
by: Lin, Shanxian, et al.
Published: (2026)

Alternate Loss Functions for Classification and Robust Regression Can Improve the Accuracy of Artificial Neural Networks
by: Noel, Mathew Mithra, et al.
Published: (2023)

Spiking Neural Network Architecture Search: A Survey
by: Svoboda, Kama, et al.
Published: (2025)

Neural Attention: A Novel Mechanism for Enhanced Expressive Power in Transformer Models
by: DiGiugno, Andrew, et al.
Published: (2025)

OntoLogX: Ontology-Guided Knowledge Graph Extraction from Cybersecurity Logs with Large Language Models
by: Cotti, Luca, et al.
Published: (2025)