| GuardNN: Secure Accelerator Architecture for Privacy-Preserving Deep Learning | Aug 26, 2020 | Deep LearningPrivacy Preserving | —Unverified | 0 | 0 |
| Guided Persona-based AI Surveys: Can we replicate personal mobility preferences at scale using LLMs? | Jan 20, 2025 | Privacy PreservingSurvey | —Unverified | 0 | 0 |
| Advancements in Federated Learning: Models, Methods, and Privacy | Feb 22, 2023 | Federated LearningPrivacy Preserving | —Unverified | 0 | 0 |
| Handling Data Heterogeneity with Generative Replay in Collaborative Learning for Medical Imaging | Jun 24, 2021 | Image GenerationPrivacy Preserving | —Unverified | 0 | 0 |
| Achieving Transparency in Distributed Machine Learning with Explainable Data Collaboration | Dec 6, 2022 | Privacy Preserving | —Unverified | 0 | 0 |
| ABCDP: Approximate Bayesian Computation with Differential Privacy | Oct 11, 2019 | Privacy Preserving | —Unverified | 0 | 0 |
| Harnessing Wireless Channels for Scalable and Privacy-Preserving Federated Learning | Jul 3, 2020 | Federated LearningPrivacy Preserving | —Unverified | 0 | 0 |
| Harvesting Private Medical Images in Federated Learning Systems with Crafted Models | Jul 13, 2024 | Federated LearningPrivacy Preserving | —Unverified | 0 | 0 |
| Privacy-Preserving Split Learning with Vision Transformers using Patch-Wise Random and Noisy CutMix | Aug 2, 2024 | Privacy Preserving | —Unverified | 0 | 0 |
| Finite Time Privacy Preserving Quantized Average Consensus with Transmission Stopping | Jul 17, 2022 | Privacy Preserving | —Unverified | 0 | 0 |