| Parameter-free HE-friendly Logistic Regression | Dec 1, 2021 | BIG-bench Machine LearningPrivacy Preserving | —Unverified | 0 |
| Partial Disclosure of Private Dependencies in Privacy Preserving Planning | Feb 14, 2021 | Privacy Preserving | —Unverified | 0 |
| PartialFed: Cross-Domain Personalized Federated Learning via Partial Initialization | Dec 1, 2021 | Federated Learningmedical image detection | —Unverified | 0 |
| Democratizing Differential Privacy: A Participatory AI Framework for Public Decision-Making | Apr 30, 2025 | Decision MakingPrivacy Preserving | —Unverified | 0 |
| PATE-AAE: Incorporating Adversarial Autoencoder into Private Aggregation of Teacher Ensembles for Spoken Command Classification | Apr 2, 2021 | Generative Adversarial NetworkKeyword Spotting | —Unverified | 0 |
| PATE-TripleGAN: Privacy-Preserving Image Synthesis with Gaussian Differential Privacy | Apr 19, 2024 | Image GenerationPrivacy Preserving | —Unverified | 0 |
| PCAL: A Privacy-preserving Intelligent Credit Risk Modeling Framework Based on Adversarial Learning | Oct 6, 2020 | BIG-bench Machine LearningPrivacy Preserving | —Unverified | 0 |
| PDC-FRS: Privacy-preserving Data Contribution for Federated Recommender System | Sep 12, 2024 | Privacy PreservingRecommendation Systems | —Unverified | 0 |
| PDFed: Privacy-Preserving and Decentralized Asynchronous Federated Learning for Diffusion Models | Sep 26, 2024 | Federated LearningMemorization | —Unverified | 0 |
| PDSR: A Privacy-Preserving Diversified Service Recommendation Method on Distributed Data | Aug 28, 2024 | Collaborative FilteringDiversity | —Unverified | 0 |
