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Anomaly Detection

281 papers

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Papers

TrojanDec: Data-free Detection of Trojan Inputs in Self-supervised Learning AAAI 2025 UniFORM: Towards Unified Framework for Anomaly Detection on Graphs AAAI 2025 Unsupervised Anomaly Detection for Tabular Data Using Deep Noise Evaluation AAAI 2025 Unveiling Multi-View Anomaly Detection: Intra-view Decoupling and Inter-view Fusion AAAI 2025 Where's the Liability in the Generative Era? Recovery-based Black-Box Detection of AI-Generated Content CVPR 2025 Zero-resource Hallucination Detection for Text Generation via Graph-based Contextual Knowledge Triples Modeling AAAI 2025 2D-OOB: Attributing Data Contribution Through Joint Valuation Framework NeurIPS 2024 A Comprehensive Augmentation Framework for Anomaly Detection AAAI 2024 ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection AAAI 2024 Anomaly Detection with Variance Stabilized Density Estimation UAI 2024 Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection CVPR 2024 AR-Pro: Counterfactual Explanations for Anomaly Repair with Formal Properties NeurIPS 2024 Automatic Outlier Rectification via Optimal Transport NeurIPS 2024 Combating Insider Threat in the Open-World Environments: Identification, Monitoring, and Data Augmentation AAAI 2024 Counterfactual Graph Learning for Anomaly Detection with Feature Disentanglement and Generation (Student Abstract) AAAI 2024 Dense Projection for Anomaly Detection AAAI 2024 Discriminability-Driven Channel Selection for Out-of-Distribution Detection CVPR 2024 Dissect Black Box: Interpreting for Rule-Based Explanations in Unsupervised Anomaly Detection NeurIPS 2024 DPDLLM: A Black-box Framework for Detecting Pre-training Data from Large Language Models ACL 2024 EGonc : Energy-based Open-Set Node Classification with substitute Unknowns NeurIPS 2024 Frequency-Aware Deepfake Detection: Improving Generalizability through Frequency Space Domain Learning AAAI 2024 Graph Anomaly Detection via Prototype-Aware Label Propagation (Student Abstract) AAAI 2024 Graph Anomaly Detection with Diffusion Model-Based Graph Enhancement (Student Abstract) AAAI 2024 Improved Guarantees for Fully Dynamic k-Center Clustering with Outliers in General Metric Spaces NeurIPS 2024 Intrinsic Self-Supervision for Data Quality Audits NeurIPS 2024