| Hybrid Differentially Private Federated Learning on Vertically Partitioned Data | Sep 6, 2020 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| Federated Graph Learning for Low Probability of Detection in Wireless Ad-Hoc Networks | Jun 1, 2023 | Graph LearningPrivacy Preserving | —Unverified | 0 |
| HyObscure: Hybrid Obscuring for Privacy-Preserving Data Publishing | Dec 15, 2021 | Privacy Preserving | —Unverified | 0 |
| Hyperdimensional Computing as a Rescue for Efficient Privacy-Preserving Machine Learning-as-a-Service | Aug 17, 2023 | Privacy Preserving | —Unverified | 0 |
| Hyper-parameter Optimization for Federated Learning with Step-wise Adaptive Mechanism | Nov 19, 2024 | AutoMLFederated Learning | —Unverified | 0 |
| I can't see it but I can Fine-tune it: On Encrypted Fine-tuning of Transformers using Fully Homomorphic Encryption | Feb 14, 2024 | image-classificationImage Classification | —Unverified | 0 |
| ID^3: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition | Sep 26, 2024 | DiversityFace Recognition | —Unverified | 0 |
| Mitigating the Performance Sacrifice in DP-Satisfied Federated Settings through Graph Contrastive Learning | Jul 24, 2022 | Contrastive LearningFederated Learning | —Unverified | 0 |
| Federated Graph Condensation with Information Bottleneck Principles | May 7, 2024 | Graph LearningInference Attack | —Unverified | 0 |
| Correlated Privacy Mechanisms for Differentially Private Distributed Mean Estimation | Jul 3, 2024 | Federated LearningPrivacy Preserving | —Unverified | 0 |
