anomaly-detection

Documents about anomaly-detection

• Privacy-Aware Anomaly Detection in IoT Environments using FedGroup: A Group-Based Federated Learning Approach#234099Semantic Scholar
• A Unified Siamese Learning Framework for Zero-Day Anomaly Detection and Classification in Optical Networks#271765arXiv CS
• A systematic review of anomaly detection in IoT security: towards quantum machine learning approach#339531Semantic Scholar
• A blockchain-secured 6G smartgrid framework for resilient renewable energy integration and intelligent anomaly detection.#380946NCBI PubMed Central
• Towards Model-based Run-time Cybersecurity: On Control-Flow Anomaly Detection, Attack Identification, and Hardware Monitoring#447879arXiv CS
• RagGAD: Rationale-Aware Conditional Gaussian Mixture Normalizing Flow for Unsupervised Graph Anomaly Detection#617191arXiv (OAI Expanded)
• RagGAD: Rationale-Aware Conditional Gaussian Mixture Normalizing Flow for Unsupervised Graph Anomaly Detection#617691arXiv (All)
• Text-ADBench: Text Anomaly Detection Benchmark Based on LLM Embeddings#664010arXiv (OAI Expanded)
• Text-ADBench: Text Anomaly Detection Benchmark Based on LLM Embeddings#665510arXiv (All)
• LogICL: Distilling LLM Reasoning to Bridge the Semantic Gap in Cross-Domain Log Anomaly Detection#799918arXiv (All)
• RINSE: Robust Target-Time Normality Estimation for Zero-Shot Graph Anomaly Detection#920143arXiv (OAI Expanded)
• RINSE: Robust Target-Time Normality Estimation for Zero-Shot Graph Anomaly Detection#924374arXiv (All)
• Differentiable Interval Bottlenecks for Interpretable Anomaly Detection in Numerical Data#926753arXiv (All)
• Detecting zero-day attacks using Recurrent Neural Network#956439SU+ Digital Repository
• Spectral properties of the resistance Laplacian with applications to data clustering and anomaly detection#971437arXiv (All)
• Hyperspectral Trajectory Image for Multi-Month Trajectory Anomaly Detection#973103arXiv (All)
• Proximity-CLIP: Text-Guided Semantic Proximity Learning for Zero-Shot Anomaly Detection#975282arXiv (All)
• Combining Exploratory Analysis and Automated Analysis for Anomaly Detection in Real-Time Data Streams#1035188arXiv (All)
• DiFA: Dual Evidence Fusion and Aggregation for Token-Level Text Anomaly Detection#1036819arXiv (All)
• Uncertainty-Weighted Fusion of Image and Synthetic Event for Video Anomaly Detection#1049634arXiv (All)
• Automated karyotyping and structural anomaly detection through a hybrid multi-stage deep learning framework integrating chromosome detection, pairwise classification, and autoencoder-based analysis.#381076NCBI PubMed Central
• LLM-Enhanced Log Anomaly Detection: A Comprehensive Benchmark of Large Language Models for Automated System Diagnostics#13168arXiv CS
• Anomaly Detection IDS for Detecting DoS Attacks in IoT Networks Based on Machine Learning Algorithms#133993Semantic Scholar
• Enhanced Consistency Bi-directional GAN (CBiGAN) for malware anomaly detection#174845Springer Nature OA
• A Fully Privacy-Preserving Solution for Anomaly Detection in IoT using Federated Learning and Homomorphic Encryption#177334Semantic Scholar
• Uncertainty-Driven Anomaly Detection for Psychotic Relapse Using Smartwatches: Forecasting and Multi-Task Learning Fusion#180645arXiv CS
• Contrast to Detect: Dynamic Graph Contrastive Regularization for Unsupervised Anomaly Detection in Multivariate Time Series#222591arXiv CS
• SoK of Machine Learning and Deep Learning Based Anomaly Detection Methods for Automatic Dependent Surveillance- Broadcast#328792Semantic Scholar
• Regularized Latent Adaptive Framework for Unsupervised Industrial Anomaly Detection via Multi-Scale Generative–Discriminative Learning.#364628NCBI PubMed Central
• An intelligent cloud firewall framework for multi-cloud security using lstm anomaly detection and federated learning.#434068NCBI PubMed Central
• Dual-domain adversarial learning and feature constraint for unsupervised anomaly detection in chest X-rays.#457541NCBI PubMed Central
• Explainability Boosted Anomaly Detection Framework for O-RAN based NextG Networks#609248arXiv (OAI Expanded)
• GridVAD: Open-Set Video Anomaly Detection via Spatial Reasoning over Stratified Frame Grids#609892arXiv (All)
• DRL-Guided Neural Batch Sampling for Semi-Supervised Pixel-Level Anomaly Detection#611405arXiv (OAI Expanded)
• DRL-Guided Neural Batch Sampling for Semi-Supervised Pixel-Level Anomaly Detection#612882arXiv (All)
• Memory-Bounded Continuation of Greedy Sampling for Continual Anomaly Detection#614285arXiv (OAI Expanded)
• Memory-Bounded Continuation of Greedy Sampling for Continual Anomaly Detection#615252arXiv (All)
• Crane: Context-Guided Prompt Learning and Attention Refinement for Zero-Shot Anomaly Detection#650592arXiv (OAI Expanded)
• Crane: Context-Guided Prompt Learning and Attention Refinement for Zero-Shot Anomaly Detection#652045arXiv (All)
• A Formal Mathematical Extension of the Maximum Cluster Diameter Criteria for Topologically Bounded Anomaly Detection in R^3#688110PhilArchive
• Co-Evolutionary Prompt Optimization with Cross-Category Transfer for Zero-Shot Anomaly Detection#790230arXiv (OAI Expanded)
• Co-Evolutionary Prompt Optimization with Cross-Category Transfer for Zero-Shot Anomaly Detection#794249arXiv (All)
• HSMLog: Small Language Model-Assisted Hardware Security Module Log Anomaly Detection with Behavioral Analysis#796989arXiv (OAI Expanded)
• HSMLog: Small Language Model-Assisted Hardware Security Module Log Anomaly Detection with Behavioral Analysis#798402arXiv (All)
• Anomaly detection for multijet scenarios#809606arXiv (OAI Expanded)
• Anomaly detection for multijet scenarios#819602arXiv (All)
• Adaptive Multi-Granularity Temporal Modeling for Weakly Supervised Video Anomaly Detection#972018arXiv (All)
• NOVA: Normal-Side Modeling for Training-Free Zero-Shot Video Anomaly Detection#973941arXiv (All)
• Camouflage-resistant graph neural networks for power grid anomaly detection#990027Springer Nature OA
• Confidence-Guided Cross-Modal Knowledge Transfer for Multimodal Anomaly Detection in Microservice Systems#1043155arXiv CS