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Artificial Intelligence › Core AI ›

Anomaly Detection

16 papers

Papers per year

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2

1

2

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9

Papers

Integrating Data Validation with Large Language Models for Regulation-Guided Tabular Anomaly Detection ACL 2026

Verifiable LLM-Generated Text Detection via Projected Semantic-Structural Distributions ACL 2026

MedForge: Interpretable Medical Deepfake Detection via Forgery-aware Reasoning ACL 2026

SAFE-QAQ: End-to-End Slow-Thinking Audio-Text Fraud Detection via Reinforcement Learning ACL 2026

CoCoNUTS: Concentrating on Content while Neglecting Uninformative Textual Styles for AI-Generated Peer Review Detection ACL 2026

Enhancing Two Steps Textual Anomaly Detection through Anisotropy Mitigation ACL 2026

Exploring and Distilling Multi-Dimensional Clues for Interpretable Social Bot Detection ACL 2026

Explainable and Fine-Grained Safeguarding of LLM Multi-Agent Systems via Bi-Level Graph Anomaly Detection ACL 2026

TingIS: Real-time Risk Event Discovery from Noisy Customer Incidents at Enterprise Scale ACL 2026

Unsupervised Cellular Anomaly Detection in Toxicological Histopathology MIDL 2025

BotPercent: Estimating Bot Populations in Twitter Communities EMNLP 2023

Enhancing Global Network Monitoring with Magnifier NSDI 2023

MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection CVPR 2021

Adaptive Double-Exploration Tradeoff for Outlier Detection AAAI 2020

Towards a Hierarchical Bayesian Model of Multi-View Anomaly Detection IJCAI 2020

Outlier Detection for Time Series with Recurrent Autoencoder Ensembles IJCAI 2019