| AdpQ: A Zero-shot Calibration Free Adaptive Post Training Quantization Method for LLMs | May 22, 2024 | Privacy PreservingQuantization | —Unverified | 0 |
| 2P-DNN : Privacy-Preserving Deep Neural Networks Based on Homomorphic Cryptosystem | Jul 23, 2018 | BIG-bench Machine LearningPrivacy Preserving | —Unverified | 0 |
| DPSNN: A Differentially Private Spiking Neural Network with Temporal Enhanced Pooling | May 24, 2022 | Face RecognitionImage Classification | —Unverified | 0 |
| Efficient and Personalized Mobile Health Event Prediction via Small Language Models | Sep 17, 2024 | Privacy Preserving | —Unverified | 0 |
| Efficient Deep Learning on Multi-Source Private Data | Jul 17, 2018 | BIG-bench Machine LearningDeep Learning | —Unverified | 0 |
| DP-TrajGAN_ A privacy-aware trajectory generation model with differential privacy | Sep 26, 2022 | Generative Adversarial NetworkPrivacy Preserving | —Unverified | 0 |
| dsLassoCov: a federated machine learning approach incorporating covariate control | Dec 11, 2024 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| DTW-SiameseNet: Dynamic Time Warped Siamese Network for Mispronunciation Detection and Correction | Mar 1, 2023 | Dynamic Time WarpingMetric Learning | —Unverified | 0 |
| Dual-Criterion Model Aggregation in Federated Learning: Balancing Data Quantity and Quality | Nov 12, 2024 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| Auditing f-Differential Privacy in One Run | Oct 29, 2024 | Privacy Preserving | —Unverified | 0 |
