| Adversarial Learning in Statistical Classification: A Comprehensive Review of Defenses Against Attacks | Apr 12, 2019 | Anomaly DetectionData Poisoning | —Unverified | 0 |
| A Hilbert Space of Stationary Ergodic Processes | Jan 25, 2018 | ClusteringRobust classification | —Unverified | 0 |
| Can we achieve robustness from data alone? | Jul 24, 2022 | Meta-Learningregression | —Unverified | 0 |
| CausalPC: Improving the Robustness of Point Cloud Classification by Causal Effect Identification | Jan 1, 2024 | Adversarial RobustnessClassification | —Unverified | 0 |
| Calibrated Surrogate Losses for Adversarially Robust Classification | May 28, 2020 | ClassificationGeneral Classification | —Unverified | 0 |
| AI-Augmented Thyroid Scintigraphy for Robust Classification | Mar 1, 2025 | ClassificationData Augmentation | —Unverified | 0 |
| centroIDA: Cross-Domain Class Discrepancy Minimization Based on Accumulative Class-Centroids for Imbalanced Domain Adaptation | Aug 21, 2023 | Domain AdaptationRobust classification | —Unverified | 0 |
| CAGE: Probing Causal Relationships in Deep Generative Models | Sep 29, 2021 | Robust classificationSynthetic Data Generation | —Unverified | 0 |
| Adversarially Robust Classification based on GLRT | Nov 16, 2020 | ClassificationGeneral Classification | —Unverified | 0 |
| Generating Hard Examples for Pixel-wise Classification | Dec 13, 2018 | ClassificationHyperspectral Image Classification | —Unverified | 0 |
