| A Dynamic-Adversarial Mining Approach to the Security of Machine Learning | Mar 24, 2018 | BIG-bench Machine LearningDrift Detection | —Unverified | 0 |
| An Efficient Concept Drift Detection Method for Streaming Data under Limited Labeling | Oct 1, 2017 | Drift Detection | —Unverified | 0 |
| An Empirical Study of Uncertainty Estimation Techniques for Detecting Drift in Data Streams | Nov 22, 2023 | Autonomous DrivingDrift Detection | —Unverified | 0 |
| A Conformance Checking-based Approach for Drift Detection in Business Processes | Jul 9, 2019 | BenchmarkingDrift Detection | —Unverified | 0 |
| An Incremental Construction of Deep Neuro Fuzzy System for Continual Learning of Non-stationary Data Streams | Aug 26, 2018 | Continual LearningDrift Detection | —Unverified | 0 |
| An incremental hybrid adaptive network-based IDS in Software Defined Networks to detect stealth attacks | Apr 1, 2024 | Drift DetectionIntrusion Detection | —Unverified | 0 |
| Are Concept Drift Detectors Reliable Alarming Systems? -- A Comparative Study | Nov 23, 2022 | Drift DetectionManagement | —Unverified | 0 |
| Anomaly Detection for Incident Response at Scale | Apr 24, 2024 | Anomaly DetectionDrift Detection | —Unverified | 0 |
| AMUSE: Adaptive Model Updating using a Simulated Environment | Dec 13, 2024 | Drift Detectionmodel | —Unverified | 0 |
| Adversarial Concept Drift Detection under Poisoning Attacks for Robust Data Stream Mining | Sep 20, 2020 | Drift Detection | —Unverified | 0 |
