| Adversarial Attacks for Drift Detection | Nov 25, 2024 | Drift Detection | —Unverified | 0 | 0 |
| Adversarial Concept Drift Detection under Poisoning Attacks for Robust Data Stream Mining | Sep 20, 2020 | Drift Detection | —Unverified | 0 | 0 |
| A Dynamic-Adversarial Mining Approach to the Security of Machine Learning | Mar 24, 2018 | BIG-bench Machine LearningDrift Detection | —Unverified | 0 | 0 |
| A Hybrid Active-Passive Approach to Imbalanced Nonstationary Data Stream Classification | Oct 10, 2022 | Drift DetectionIncremental Learning | —Unverified | 0 | 0 |
| AIDPS:Adaptive Intrusion Detection and Prevention System for Underwater Acoustic Sensor Networks | Sep 14, 2023 | Drift DetectionIntrusion Detection | —Unverified | 0 | 0 |
| Always Strengthen Your Strengths: A Drift-Aware Incremental Learning Framework for CTR Prediction | Apr 17, 2023 | Click-Through Rate PredictionDiversity | —Unverified | 0 | 0 |
| A Model Drift Detection and Adaptation Framework for 5G Core Networks | Aug 8, 2022 | Drift DetectionManagement | —Unverified | 0 | 0 |
| A monitoring framework for deployed machine learning models with supply chain examples | Nov 11, 2022 | Drift Detection | —Unverified | 0 | 0 |
| AMUSE: Adaptive Model Updating using a Simulated Environment | Dec 13, 2024 | Drift Detectionmodel | —Unverified | 0 | 0 |
| An Efficient Concept Drift Detection Method for Streaming Data under Limited Labeling | Oct 1, 2017 | Drift Detection | —Unverified | 0 | 0 |
