Towards Convexity in Anomaly Detection: A New Formulation of SSLM with Unique Optimal Solutions
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Hongying, Wang, Hao, Chu, Haoran, Wu, Yibo |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Tighten The Lasso: A Convex Hull Volume-based Anomaly Detection Method
by: Itai, Uri, et al.
Published: (2025)
by: Itai, Uri, et al.
Published: (2025)
Convex Distance Operator Transport: A Convex and Geometry-Preserving Formulation
by: Chung, Junhyoung, et al.
Published: (2026)
by: Chung, Junhyoung, et al.
Published: (2026)
Towards Anomaly-Aware Pre-Training and Fine-Tuning for Graph Anomaly Detection
by: Liu, Yunhui, et al.
Published: (2025)
by: Liu, Yunhui, et al.
Published: (2025)
Towards One-for-All Anomaly Detection for Tabular Data
by: Li, Shiyuan, et al.
Published: (2026)
by: Li, Shiyuan, et al.
Published: (2026)
Calibrating Tabular Anomaly Detection via Optimal Transport
by: Ye, Hangting, et al.
Published: (2026)
by: Ye, Hangting, et al.
Published: (2026)
Towards Token-Level Text Anomaly Detection
by: Cao, Yang, et al.
Published: (2026)
by: Cao, Yang, et al.
Published: (2026)
AnomalyAID: Reliable Interpretation for Semi-supervised Network Anomaly Detection
by: Yuan, Yachao, et al.
Published: (2024)
by: Yuan, Yachao, et al.
Published: (2024)
Universal Online Convex Optimization with $1$ Projection per Round
by: Yang, Wenhao, et al.
Published: (2024)
by: Yang, Wenhao, et al.
Published: (2024)
DARTs: A Dual-Path Robust Framework for Anomaly Detection in High-Dimensional Multivariate Time Series
by: Liu, Xuechun, et al.
Published: (2025)
by: Liu, Xuechun, et al.
Published: (2025)
A New Formulation for Zeroth-Order Optimization of Adversarial EXEmples in Malware Detection
by: Rando, Marco, et al.
Published: (2024)
by: Rando, Marco, et al.
Published: (2024)
GLADformer: A Mixed Perspective for Graph-level Anomaly Detection
by: Xu, Fan, et al.
Published: (2024)
by: Xu, Fan, et al.
Published: (2024)
Universal Online Convex Optimization Meets Second-order Bounds
by: Zhang, Lijun, et al.
Published: (2021)
by: Zhang, Lijun, et al.
Published: (2021)
Can Multimodal LLMs Perform Time Series Anomaly Detection?
by: Xu, Xiongxiao, et al.
Published: (2025)
by: Xu, Xiongxiao, et al.
Published: (2025)
RobustTSF: Towards Theory and Design of Robust Time Series Forecasting with Anomalies
by: Cheng, Hao, et al.
Published: (2024)
by: Cheng, Hao, et al.
Published: (2024)
From Few-Shot to Zero-Shot: Towards Generalist Graph Anomaly Detection
by: Liu, Yixin, et al.
Published: (2026)
by: Liu, Yixin, et al.
Published: (2026)
DQE: A Semantic-Aware Evaluation Metric for Time Series Anomaly Detection
by: Li, Yuewei, et al.
Published: (2026)
by: Li, Yuewei, et al.
Published: (2026)
Towards Optimal Adversarial Robust Q-learning with Bellman Infinity-error
by: Li, Haoran, et al.
Published: (2024)
by: Li, Haoran, et al.
Published: (2024)
Towards Optimal Adversarial Robust Reinforcement Learning with Infinity Measurement Error
by: Li, Haoran, et al.
Published: (2025)
by: Li, Haoran, et al.
Published: (2025)
Towards Cross-domain Few-shot Graph Anomaly Detection
by: Chen, Jiazhen, et al.
Published: (2024)
by: Chen, Jiazhen, et al.
Published: (2024)
Towards Unsupervised Validation of Anomaly-Detection Models
by: Idan, Lihi
Published: (2024)
by: Idan, Lihi
Published: (2024)
PUL-Inter-slice Defender: An Anomaly Detection Solution for Distributed Slice Mobility Attacks
by: Molina, Ricardo Misael Ayala, et al.
Published: (2025)
by: Molina, Ricardo Misael Ayala, et al.
Published: (2025)
Convex Formulations for Training Two-Layer ReLU Neural Networks
by: Prakhya, Karthik, et al.
Published: (2024)
by: Prakhya, Karthik, et al.
Published: (2024)
Isolation-based Spherical Ensemble Representations for Anomaly Detection
by: Cao, Yang, et al.
Published: (2025)
by: Cao, Yang, et al.
Published: (2025)
AXIS: Explainable Time Series Anomaly Detection with Large Language Models
by: Lan, Tian, et al.
Published: (2025)
by: Lan, Tian, et al.
Published: (2025)
Graph Evidential Learning for Anomaly Detection
by: Wei, Chunyu, et al.
Published: (2025)
by: Wei, Chunyu, et al.
Published: (2025)
Towards Foundation Models for Zero-Shot Time Series Anomaly Detection: Leveraging Synthetic Data and Relative Context Discrepancy
by: Lan, Tian, et al.
Published: (2025)
by: Lan, Tian, et al.
Published: (2025)
Know Unreported Roadway Incidents in Real-time: Early Traffic Anomaly Detection
by: Duan, Haocheng, et al.
Published: (2024)
by: Duan, Haocheng, et al.
Published: (2024)
Towards a Unified Framework of Clustering-based Anomaly Detection
by: Fang, Zeyu, et al.
Published: (2024)
by: Fang, Zeyu, et al.
Published: (2024)
A Deep Learning Approach to Anomaly Detection in High-Frequency Trading Data
by: Bao, Qiuliuyang, et al.
Published: (2025)
by: Bao, Qiuliuyang, et al.
Published: (2025)
Unsupervised Anomaly Detection through Mass Repulsing Optimal Transport
by: Montesuma, Eduardo Fernandes, et al.
Published: (2025)
by: Montesuma, Eduardo Fernandes, et al.
Published: (2025)
Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark
by: Wang, Yili, et al.
Published: (2024)
by: Wang, Yili, et al.
Published: (2024)
Towards Multiple Missing Values-resistant Unsupervised Graph Anomaly Detection
by: Chen, Jiazhen, et al.
Published: (2025)
by: Chen, Jiazhen, et al.
Published: (2025)
Multi-Normal Prototypes Learning for Weakly Supervised Anomaly Detection
by: Dong, Zhijin, et al.
Published: (2024)
by: Dong, Zhijin, et al.
Published: (2024)
Learning Feature Encoder with Synthetic Anomalies for Weakly Supervised Graph Anomaly Detection
by: Zhou, Yingjie, et al.
Published: (2026)
by: Zhou, Yingjie, et al.
Published: (2026)
Towards Explainable Anomaly Detection in Shared Mobility Systems
by: Isgandarov, Elnur, et al.
Published: (2025)
by: Isgandarov, Elnur, et al.
Published: (2025)
Cluster Aware Graph Anomaly Detection
by: Zheng, Lecheng, et al.
Published: (2024)
by: Zheng, Lecheng, et al.
Published: (2024)
Deep Graph Anomaly Detection: A Survey and New Perspectives
by: Qiao, Hezhe, et al.
Published: (2024)
by: Qiao, Hezhe, et al.
Published: (2024)
Optimal and Efficient Algorithms for Decentralized Online Convex Optimization
by: Wan, Yuanyu, et al.
Published: (2024)
by: Wan, Yuanyu, et al.
Published: (2024)
An Asymptotically Optimal Algorithm for the Convex Hull Membership Problem
by: Qiao, Gang, et al.
Published: (2023)
by: Qiao, Gang, et al.
Published: (2023)
Towards Real-world Debiasing: Rethinking Evaluation, Challenge, and Solution
by: Kuang, Peng, et al.
Published: (2024)
by: Kuang, Peng, et al.
Published: (2024)
Similar Items
-
Tighten The Lasso: A Convex Hull Volume-based Anomaly Detection Method
by: Itai, Uri, et al.
Published: (2025) -
Convex Distance Operator Transport: A Convex and Geometry-Preserving Formulation
by: Chung, Junhyoung, et al.
Published: (2026) -
Towards Anomaly-Aware Pre-Training and Fine-Tuning for Graph Anomaly Detection
by: Liu, Yunhui, et al.
Published: (2025) -
Towards One-for-All Anomaly Detection for Tabular Data
by: Li, Shiyuan, et al.
Published: (2026) -
Calibrating Tabular Anomaly Detection via Optimal Transport
by: Ye, Hangting, et al.
Published: (2026)