| Multi-Trigger-Key: Towards Multi-Task Privacy-Preserving In Deep Learning | Sep 29, 2021 | AttributeDeep Learning | —Unverified | 0 |
| NAP^2: A Benchmark for Naturalness and Privacy-Preserving Text Rewriting by Learning from Human | Jun 6, 2024 | Privacy Preserving | —Unverified | 0 |
| Navigating the Designs of Privacy-Preserving Fine-tuning for Large Language Models | Jan 8, 2025 | Privacy Preserving | —Unverified | 0 |
| Navigating the Future of Federated Recommendation Systems with Foundation Models | May 12, 2024 | Federated LearningMultimodal Recommendation | —Unverified | 0 |
| Neighborhood and Global Perturbations Supported SAM in Federated Learning: From Local Tweaks To Global Awareness | Aug 26, 2024 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| Nemesis: Noise-randomized Encryption with Modular Efficiency and Secure Integration in Machine Learning Systems | Dec 18, 2024 | Privacy Preserving | —Unverified | 0 |
| Network Inversion for Training-Like Data Reconstruction | Oct 22, 2024 | Privacy Preserving | —Unverified | 0 |
| Neural Networks with (Low-Precision) Polynomial Approximations: New Insights and Techniques for Accuracy Improvement | Feb 17, 2024 | Privacy Preserving | —Unverified | 0 |
| Neural Tangent Kernel Empowered Federated Learning | Oct 7, 2021 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA | Nov 6, 2024 | Federated LearningLanguage Modelling | —Unverified | 0 |
