| Sociodynamics-inspired Adaptive Coalition and Client Selection in Federated Learning | Jun 3, 2025 | Federated LearningPrivacy Preserving | —Unverified | 0 | 0 |
| Soft-Hard Attention U-Net Model and Benchmark Dataset for Multiscale Image Shadow Removal | Aug 7, 2024 | BenchmarkingHard Attention | —Unverified | 0 | 0 |
| SoK: Can Synthetic Images Replace Real Data? A Survey of Utility and Privacy of Synthetic Image Generation | Jun 24, 2025 | Image GenerationPrivacy Preserving | —Unverified | 0 | 0 |
| SoK: Modeling Explainability in Security Analytics for Interpretability, Trustworthiness, and Usability | Oct 31, 2022 | Anomaly DetectionDecision Making | —Unverified | 0 | 0 |
| On the Impossible Safety of Large AI Models | Sep 30, 2022 | Privacy Preserving | —Unverified | 0 | 0 |
| SoK: Privacy-Preserving Collaborative Tree-based Model Learning | Mar 16, 2021 | BIG-bench Machine Learningmodel | —Unverified | 0 | 0 |
| SoK: Privacy-Preserving Data Synthesis | Jul 5, 2023 | Image GenerationPrivacy Preserving | —Unverified | 0 | 0 |
| SoK: Privacy-preserving Deep Learning with Homomorphic Encryption | Dec 23, 2021 | Deep LearningPrivacy Preserving | —Unverified | 0 | 0 |
| SoK: Privacy Preserving Machine Learning using Functional Encryption: Opportunities and Challenges | Apr 11, 2022 | BIG-bench Machine LearningCloud Computing | —Unverified | 0 | 0 |
| SoK: Training Machine Learning Models over Multiple Sources with Privacy Preservation | Dec 6, 2020 | BIG-bench Machine LearningFederated Learning | —Unverified | 0 | 0 |
