This repository provides a list a list of publications from DASHLab about Anomaly Detection.
Our published papers that related to detecting anomalies on time series.
2024: SSMT: Few-Shot Traffic Forecasting with Single Source Meta-Transfer Learning ICPR24.
2024: MIXAD: Memory-Induced Explainable Time Series Anomaly Detection ICPR24.
2024: STLGRU: Spatio-Temporal Lightweight Graph GRU for Traffic Flow Prediction PAKDD24. [paper]
2024: RAAD: Reinforced Adversarial Anomaly Detector SAC24. [paper]
2022: Towards an Awareness of Time Series Anomaly Detection Models' Adversarial Vulnerability CIKM22. [paper]
(Evaluated various anomaly detection algorithms against adversarial attacks.)
2022: Learning Sparse Latent Graph Representations for Anomaly Detection in Multivariate Time Series accepted by KDD22. [paper]
(GNN + explainability)
2022: Residual Size is Not Enough for Anomaly Detection: Improving Detection Performance using Residual Similarity in Multivariate Time Series accepted by ACM-SAC22. [paper]
(Nearest Neighbors based approach)
2021: Revitalizing Self-Organizing Map: Anomaly Detection using Forecasting Error Patterns accepted by IFIP-SEC21. [paper]
(Self-Organizing Maps (SOM) based anomaly detection approach)
2020: Forecasting Error Pattern-based Anomaly Detection in Multivariate Time Series accepted by ECML-PKDD20. [paper]
2019: Robust Anomaly Detection in Cyber Physical System using Kullback-Leibler Divergence in Error Distributions accepted by Workshop on KDD19. [paper]
2024: Satellite State Prediction and Maneuver Detection Analysis using NCDEs ICPR24.
2024: Decomposed Attention Segment Recurrent Neural Network for Orbit Prediction KDD24.
2024: Revisiting 30 years of the Network Time Protocol WWW24. [paper]
2024: Saliency-aware Time Series Anomaly Detection for Space Applications PAKDD24. [paper]
2022: Selective Tensorized Multi-layer LSTM for Orbit Prediction CIKM22. [paper]
(Tensor Train-based forecasting and anomaly detection approach)
2020: ITAD: Integrative Tensor-based Anomaly Detection System for Reducing False Postives of Satellite Systems accepted by CIKM20. [paper]
(Tensor and Clustering based anomaly detection approach)
2019: Detecting Anomalies in Space using Multivariate Convolutional LSTM with Mixtures of Probabilistic PCA accepted by KDD19. [paper]
2020: CAN-ADF: The Controller Area Network Attack Detection Framework accepted by Computers&Security20. [paper]
2020: CANTransfer: Transfer Learning based Intrusion Detection on a Controller Area Network using Convolutional LSTM Network accepted by SAC20. [paper]
2018: Detecting In-Vehicle CAN Message Attacks using Heuristics and RNNs accepted by IOSec18. [paper]
2024: Deep Journey Hierarchical Attention Networks for Predictions in Digital Marketing CIKM24.
2024: Development of Deep Learning-based Algorithm for Extracting Abnormal Deceleration Patterns EVS37.
2024: Action Attention GRU: A Data-Driven Approach for Enhancing Purchase Predictions in Digital Marketing SAC24. [paper]
2023: Distance adaptive graph convolutional gated network-based smart air quality monitoring and health risk prediction in sensor-devoid urban areas Journal of Sustainable Cities and Society. [paper]
2020: Who is Delivering My Food?: Detecting Food Delivery Abusers using Variational Reward Inference Networks accepted by CIKM20. [paper]
(Food delivery person cheater detection)
2022: STL-DP: Differentially Private Time Series Exploring Decomposition and Compression Methods accepted by CIKM22. [paper]
2021,2022. 무인이동체 다변량 데이터 기반 추이 모델링 및 이상탐지 (국가보안기술연구소)
2020. 인공지능 활용 위성영상 자동탐지 기술개발 추진방안 (한국연구재단)
2020. 인공지능기반 위성운영 전주기 자동화 연구 및 시제품 개발 (항우연)
2020. 객체 탐지 기술을 활용한 CCTV 이상 행동 탐지 기술 연구 (IITP)
2019. AI 기반 위성상태데이터 고장탐지 구현 및 검증방안 연구 (항우연)
2019,2020. 차세대 지능형 고신뢰 에너지 클라우드 통합 보안 시스템 연구 (IITP)
https://www.oecp.kaist.ac.kr/research
2019. 제어시스템 운영정보 예측오차 패턴을 이용한 이상탐지 방안 연구 (국가보안기술연구소)