:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhang, Lingpei, Li, Qingming, Yang, Yong, Chen, Jiahao, Zeng, Rui, Lyu, Chenyang, Ji, Shouling
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2602.09690
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Poison in the Well: Feature Embedding Disruption in Backdoor Attacks
by: Feng, Zhou, et al.
Published: (2025)

CLIBE: Detecting Dynamic Backdoors in Transformer-based NLP Models
by: Zeng, Rui, et al.
Published: (2024)

LoRAShield: Data-Free Editing Alignment for Secure Personalized LoRA Sharing
by: Chen, Jiahao, et al.
Published: (2025)

MTAD: Tools and Benchmarks for Multivariate Time Series Anomaly Detection
by: Liu, Jinyang, et al.
Published: (2024)

TimeSeriesBench: An Industrial-Grade Benchmark for Time Series Anomaly Detection Models
by: Si, Haotian, et al.
Published: (2024)

An Improved Time Series Anomaly Detection by Applying Structural Similarity
by: Wang, Tiejun, et al.
Published: (2025)

Symbolic Integration Algorithm Selection with Machine Learning: LSTMs vs Tree LSTMs
by: Barket, Rashid, et al.
Published: (2024)

BoundAD: Boundary-Aware Negative Generation for Time Series Anomaly Detection
by: Wang, Xiancheng, et al.
Published: (2026)

Cross-Modal Deep Metric Learning for Time Series Anomaly Detection
by: Li, Wei, et al.
Published: (2025)

UNIDOOR: A Universal Framework for Action-Level Backdoor Attacks in Deep Reinforcement Learning
by: Ma, Oubo, et al.
Published: (2025)

Weakly Augmented Variational Autoencoder in Time Series Anomaly Detection
by: Wu, Zhangkai, et al.
Published: (2024)

AXIS: Explainable Time Series Anomaly Detection with Large Language Models
by: Lan, Tian, et al.
Published: (2025)

Label-Free Multivariate Time Series Anomaly Detection
by: Zhou, Qihang, et al.
Published: (2023)

TAB: Unified Benchmarking of Time Series Anomaly Detection Methods
by: Qiu, Xiangfei, et al.
Published: (2025)

Towards Multimodal Time Series Anomaly Detection with Semantic Alignment and Condensed Interaction
by: Hu, Shiyan, et al.
Published: (2026)

Predicting Clinical Outcomes with Waveform LSTMs
by: Albada, Michael
Published: (2025)

ScatterAD: Temporal-Topological Scattering Mechanism for Time Series Anomaly Detection
by: Yin, Tao, et al.
Published: (2025)

CrossAD: Time Series Anomaly Detection with Cross-scale Associations and Cross-window Modeling
by: Li, Beibu, et al.
Published: (2025)

Contextual Learning for Anomaly Detection in Tabular Data
by: King, Spencer, et al.
Published: (2025)

CAPMix: Robust Time Series Anomaly Detection Based on Abnormal Assumptions with Dual-Space Mixup
by: Mou, Xudong, et al.
Published: (2025)

Bridging Classification and Reconstruction: Cooperative Time Series Anomaly Detection
by: Tang, Qideng, et al.
Published: (2026)

From Chaos to Clarity: Time Series Anomaly Detection in Astronomical Observations
by: Hao, Xinli, et al.
Published: (2024)

Selective Denoising Diffusion Model for Time Series Anomaly Detection
by: Obata, Kohei, et al.
Published: (2026)

Order within Chaos: Capturing Intrinsic Energy Anomalies for AI-Manipulated Image Forgery Localization
by: Wang, Yiming, et al.
Published: (2026)

STAR: Boosting Time Series Foundation Models for Anomaly Detection through State-aware Adapter
by: Cheng, Hanyin, et al.
Published: (2025)

DQE: A Semantic-Aware Evaluation Metric for Time Series Anomaly Detection
by: Li, Yuewei, et al.
Published: (2026)

KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks
by: Zhou, Quan, et al.
Published: (2024)

Prospective Multi-Graph Cohesion for Multivariate Time Series Anomaly Detection
by: Chen, Jiazhen, et al.
Published: (2025)

Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective
by: Wang, Zexin, et al.
Published: (2024)

CICADA: Cross-Domain Interpretable Coding for Anomaly Detection and Adaptation in Multivariate Time Series
by: Lan, Tian, et al.
Published: (2025)

Revisiting the Seasonal Trend Decomposition for Enhanced Time Series Forecasting
by: Panta, Sanjeev, et al.
Published: (2026)

Anomaly Detection in Event-triggered Traffic Time Series via Similarity Learning
by: Dou, Shaoyu, et al.
Published: (2025)

Sparse Transformer with Local and Seasonal Adaptation for Multivariate Time Series Forecasting
by: Zhang, Yifan, et al.
Published: (2023)

Robust Group Anomaly Detection for Quasi-Periodic Network Time Series
by: Yang, Kai, et al.
Published: (2025)

Graph Anomaly Detection in Time Series: A Survey
by: Ho, Thi Kieu Khanh, et al.
Published: (2023)

Open-Set Multivariate Time-Series Anomaly Detection
by: Lai, Thomas, et al.
Published: (2023)

AEIOU: A Unified Defense Framework against NSFW Prompts in Text-to-Image Models
by: Wang, Yiming, et al.
Published: (2024)

CCE: Confidence-Consistency Evaluation for Time Series Anomaly Detection
by: Zhong, Zhijie, et al.
Published: (2025)

Matrix Profile for Anomaly Detection on Multidimensional Time Series
by: Yeh, Chin-Chia Michael, et al.
Published: (2024)

Reformulation is All You Need: Addressing Malicious Text Features in DNNs
by: Jiang, Yi, et al.
Published: (2025)