| Towards Privacy-Preserving Fine-Grained Visual Classification via Hierarchical Learning from Label Proportions | May 29, 2025 | ClassificationDictionary Learning | —Unverified | 0 |
| Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified ResNet Architecture | Dec 1, 2024 | Federated Learningimage-classification | —Unverified | 0 |
| Towards Privacy-Preserving Neural Architecture Search | Apr 22, 2022 | BIG-bench Machine LearningEEG | —Unverified | 0 |
| Towards Privacy-Preserving Person Re-identification via Person Identify Shift | Jul 15, 2022 | De-identificationPerson Re-Identification | —Unverified | 0 |
| Towards Privacy-Preserving Relational Data Synthesis via Probabilistic Relational Models | Sep 6, 2024 | Privacy Preserving | —Unverified | 0 |
| Towards Private Learning on Decentralized Graphs with Local Differential Privacy | Jan 23, 2022 | BenchmarkingGraph Learning | —Unverified | 0 |
| Towards Real-time Drowsiness Detection for Elderly Care | Oct 21, 2020 | Privacy Preserving | —Unverified | 0 |
| Towards Representation Identical Privacy-Preserving Graph Neural Network via Split Learning | Jul 13, 2021 | Graph Neural NetworkPrivacy Preserving | —Unverified | 0 |
| Towards Resource-Efficient Federated Learning in Industrial IoT for Multivariate Time Series Analysis | Nov 6, 2024 | Anomaly DetectionFederated Learning | —Unverified | 0 |
| Towards Robust Federated Learning via Logits Calibration on Non-IID Data | Mar 5, 2024 | Federated LearningPrivacy Preserving | —Unverified | 0 |
