Bridging Unsupervised and Semi-Supervised Anomaly Detection: A Theoretically-Grounded and Practical Framework with Synthetic Anomalies
Fuente:
arXiv
Saved in:
| Main Authors: | Lau, Matthew, Zhou, Tian-Yi, Yuan, Xiangchi, Chen, Jizhou, Lee, Wenke, Huo, Xiaoming |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Optimal Classification-based Anomaly Detection with Neural Networks: Theory and Practice
by: Zhou, Tian-Yi, et al.
Published: (2024)
by: Zhou, Tian-Yi, et al.
Published: (2024)
Semi-Supervised Learning for Anomaly Detection in Blockchain-based Supply Chains
by: Son, Do Hai, et al.
Published: (2024)
by: Son, Do Hai, et al.
Published: (2024)
Eclipse Attack Detection on a Blockchain Network as a Non-Parametric Change Detection Problem
by: Gupta, Anurag, et al.
Published: (2024)
by: Gupta, Anurag, et al.
Published: (2024)
Unsupervised Log Anomaly Detection with Few Unique Tokens
by: Sulc, Antonin, et al.
Published: (2023)
by: Sulc, Antonin, et al.
Published: (2023)
Log2graphs: An Unsupervised Framework for Log Anomaly Detection with Efficient Feature Extraction
by: Wang, Caihong, et al.
Published: (2024)
by: Wang, Caihong, et al.
Published: (2024)
SAFE: Self-Supervised Anomaly Detection Framework for Intrusion Detection
by: Li, Elvin, et al.
Published: (2025)
by: Li, Elvin, et al.
Published: (2025)
Privacy-Preserving Cohort Analytics for Personalized Health Platforms: A Differentially Private Framework with Stochastic Risk Modeling
by: Chakraborty, Richik, et al.
Published: (2026)
by: Chakraborty, Richik, et al.
Published: (2026)
FPGA Digital Dice using Pseudo Random Number Generator
by: Hian, Michael Lim Kee, et al.
Published: (2024)
by: Hian, Michael Lim Kee, et al.
Published: (2024)
Combating Organized Platform Abuse: Amplifying Weak Risk Signals with Structural Information
by: He, Meng, et al.
Published: (2026)
by: He, Meng, et al.
Published: (2026)
A Public Dataset For the ZKsync Rollup
by: Silva, Maria Inês, et al.
Published: (2024)
by: Silva, Maria Inês, et al.
Published: (2024)
Exposed: Shedding Blacklight on Online Privacy
by: Shen, Lucas, et al.
Published: (2025)
by: Shen, Lucas, et al.
Published: (2025)
Formal Privacy Guarantees with Invariant Statistics
by: Cho, Young Hyun, et al.
Published: (2024)
by: Cho, Young Hyun, et al.
Published: (2024)
Analyzing the Differentially Private Theil-Sen Estimator for Simple Linear Regression
by: Sarathy, Jayshree, et al.
Published: (2022)
by: Sarathy, Jayshree, et al.
Published: (2022)
Private and Collaborative Kaplan-Meier Estimators
by: Rahimian, Shadi, et al.
Published: (2023)
by: Rahimian, Shadi, et al.
Published: (2023)
Privacy Violations in Election Results
by: Kuriwaki, Shiro, et al.
Published: (2023)
by: Kuriwaki, Shiro, et al.
Published: (2023)
Nested Dirichlet models for unsupervised attack pattern detection in honeypot data
by: Passino, Francesco Sanna, et al.
Published: (2023)
by: Passino, Francesco Sanna, et al.
Published: (2023)
Inference With Combining Rules From Multiple Differentially Private Synthetic Datasets
by: Nombo, Leila, et al.
Published: (2024)
by: Nombo, Leila, et al.
Published: (2024)
A Cybersecurity Risk Analysis Framework for Systems with Artificial Intelligence Components
by: Camacho, Jose Manuel, et al.
Published: (2024)
by: Camacho, Jose Manuel, et al.
Published: (2024)
Indiscriminate Disruption of Conditional Inference on Multivariate Gaussians
by: Caballero, William N., et al.
Published: (2024)
by: Caballero, William N., et al.
Published: (2024)
Semi-Supervised Learning for Anomaly Traffic Detection via Bidirectional Normalizing Flows
by: Dang, Zhangxuan, et al.
Published: (2024)
by: Dang, Zhangxuan, et al.
Published: (2024)
Assessing Utility of Differential Privacy for RCTs
by: Webb, Kaitlyn R., et al.
Published: (2023)
by: Webb, Kaitlyn R., et al.
Published: (2023)
Beta-CoRM: A Bayesian Approach for $n$-gram Profiles Analysis
by: Perusquía, José A., et al.
Published: (2020)
by: Perusquía, José A., et al.
Published: (2020)
A Simulated Reconstruction and Reidentification Attack on the 2010 U.S. Census
by: Abowd, John M., et al.
Published: (2023)
by: Abowd, John M., et al.
Published: (2023)
SILENT: A New Lens on Statistics in Software Timing Side Channels
by: Dunsche, Martin, et al.
Published: (2025)
by: Dunsche, Martin, et al.
Published: (2025)
Dynamic Bayesian Networks, Elicitation and Data Embedding for Secure Environments
by: Drury, Kieran, et al.
Published: (2024)
by: Drury, Kieran, et al.
Published: (2024)
A robust statistical framework for cyber-vulnerability prioritisation under partial information in threat intelligence
by: Angelelli, Mario, et al.
Published: (2023)
by: Angelelli, Mario, et al.
Published: (2023)
Noisy Measurements Are Important, the Design of Census Products Is Much More Important
by: Abowd, John M.
Published: (2023)
by: Abowd, John M.
Published: (2023)
Assessing biomedical knowledge robustness in large language models by query-efficient sampling attacks
by: Xian, R. Patrick, et al.
Published: (2024)
by: Xian, R. Patrick, et al.
Published: (2024)
Bridging Data Barriers among Participants: Assessing the Potential of Geoenergy through Federated Learning
by: Peng, Weike, et al.
Published: (2024)
by: Peng, Weike, et al.
Published: (2024)
Machine Learning for Network Attacks Classification and Statistical Evaluation of Adversarial Learning Methodologies for Synthetic Data Generation
by: Zarkadis, Iakovos-Christos, et al.
Published: (2026)
by: Zarkadis, Iakovos-Christos, et al.
Published: (2026)
Privacy-Preserving Customer Support: A Framework for Secure and Scalable Interactions
by: Awasthi, Anant Prakash, et al.
Published: (2024)
by: Awasthi, Anant Prakash, et al.
Published: (2024)
Unsupervised Anomaly Detection for Smart IoT Devices: Performance and Resource Comparison
by: Sami, Md. Sad Abdullah, et al.
Published: (2025)
by: Sami, Md. Sad Abdullah, et al.
Published: (2025)
Multimedia Traffic Anomaly Detection
by: Feng, Tongtong, et al.
Published: (2024)
by: Feng, Tongtong, et al.
Published: (2024)
Semi-Supervised Supply Chain Fraud Detection with Unsupervised Pre-Filtering
by: Moradi, Fatemeh, et al.
Published: (2025)
by: Moradi, Fatemeh, et al.
Published: (2025)
Continual Release of Differentially Private Synthetic Data from Longitudinal Data Collections
by: Bun, Mark, et al.
Published: (2023)
by: Bun, Mark, et al.
Published: (2023)
GRASP -- Graph-Based Anomaly Detection Through Self-Supervised Classification
by: Buchta, Robin, et al.
Published: (2026)
by: Buchta, Robin, et al.
Published: (2026)
An Efficient Anomaly Detection Framework for Wireless Sensor Networks Using Markov Process
by: Mishra, Rahul, et al.
Published: (2025)
by: Mishra, Rahul, et al.
Published: (2025)
Watermarking Generative Tabular Data
by: He, Hengzhi, et al.
Published: (2024)
by: He, Hengzhi, et al.
Published: (2024)
Adaptive Quantum-Safe Cryptography for 6G Vehicular Networks via Context-Aware Optimization
by: Sengupta, Poushali, et al.
Published: (2026)
by: Sengupta, Poushali, et al.
Published: (2026)
Differentially Private Log-Location-Scale Regression Using Functional Mechanism
by: Sheng, Jiewen, et al.
Published: (2024)
by: Sheng, Jiewen, et al.
Published: (2024)
Similar Items
-
Optimal Classification-based Anomaly Detection with Neural Networks: Theory and Practice
by: Zhou, Tian-Yi, et al.
Published: (2024) -
Semi-Supervised Learning for Anomaly Detection in Blockchain-based Supply Chains
by: Son, Do Hai, et al.
Published: (2024) -
Eclipse Attack Detection on a Blockchain Network as a Non-Parametric Change Detection Problem
by: Gupta, Anurag, et al.
Published: (2024) -
Unsupervised Log Anomaly Detection with Few Unique Tokens
by: Sulc, Antonin, et al.
Published: (2023) -
Log2graphs: An Unsupervised Framework for Log Anomaly Detection with Efficient Feature Extraction
by: Wang, Caihong, et al.
Published: (2024)