Anomaly Detection

Exploring the Relationship Between Samples and Masks for Robust Defect Localization AAAI 2025 Federated Graph Anomaly Detection Through Contrastive Learning with Global Negative Pairs AAAI 2025 Filter or Compensate: Towards Invariant Representation from Distribution Shift for Anomaly Detection AAAI 2025 GCAD: Anomaly Detection in Multivariate Time Series from the Perspective of Granger Causality AAAI 2025 Graph Mixture of Experts and Memory-augmented Routers for Multivariate Time Series Anomaly Detection AAAI 2025 Grimm: A Plug-and-Play Perturbation Rectifier for Graph Neural Networks Defending Against Poisoning Attacks AAAI 2025 Hubness Change Point Detection AAAI 2025 HYBOOD: A Hybrid Generative Model for Out-of-Distribution Detection with Corruption Estimation AAAI 2025 Identifying Predictions That Influence the Future: Detecting Performative Concept Drift in Data Streams AAAI 2025 Imitate Before Detect: Aligning Machine Stylistic Preference for Machine-Revised Text Detection AAAI 2025 Infinite-dimensional Mahalanobis Distance with Applications to Kernelized Novelty Detection JMLR 2025 MalDetectFormer: Leveraging Sparse SpatioTemporal Information for Effective Malicious Traffic Detection AAAI 2025 MEATRD: Multimodal Anomalous Tissue Region Detection Enhanced with Spatial Transcriptomics AAAI 2025 Mining In-distribution Attributes in Outliers for Out-of-distribution Detection AAAI 2025 Multi-Subspace Matrix Recovery from Permuted Data AAAI 2025 Offline Changepoint Detection With Gaussian Processes UAI 2025 Online Fraud Detection via Test-Time Retrieval-Based Representation Enrichment AAAI 2025 Open-world Radio Frequency Fingerprint Identification via Augmented Semi-supervised Learning AAAI 2025 Rethinking Cancer Gene Identification Through Graph Anomaly Analysis AAAI 2025 Revisiting Graph Contrastive Learning on Anomaly Detection: A Structural Imbalance Perspective AAAI 2025 Searching for Unfairness in Algorithms’ Outputs: Novel Tests and Insights AAAI 2025 Signature Isolation Forest AISTATS 2025 SubSearch: Robust Estimation and Outlier Detection for Stochastic Block Models via Subgraph Search AISTATS 2025 Tab-Shapley: Identifying Top-k Tabular Data Quality Insights AAAI 2025 TAIL-MIL: Time-Aware and Instance-Learnable Multiple Instance Learning for Multivariate Time Series Anomaly Detection AAAI 2025