| DiffUMI: Training-Free Universal Model Inversion via Unconditional Diffusion for Face Recognition | Apr 25, 2025 | Face GenerationFace Recognition | —Unverified | 0 |
| Disentangling the Linguistic Competence of Privacy-Preserving BERT | Oct 17, 2023 | Privacy Preserving | —Unverified | 0 |
| AdpQ: A Zero-shot Calibration Free Adaptive Post Training Quantization Method for LLMs | May 22, 2024 | Privacy PreservingQuantization | —Unverified | 0 |
| Disguised-Nets: Image Disguising for Privacy-preserving Outsourced Deep Learning | Feb 5, 2019 | Deep LearningGPU | —Unverified | 0 |
| Distant Supervised Centroid Shift: A Simple and Efficient Approach to Visual Domain Adaptation | Jun 1, 2019 | Domain AdaptationDomain Generalization | —Unverified | 0 |
| 2P-DNN : Privacy-Preserving Deep Neural Networks Based on Homomorphic Cryptosystem | Jul 23, 2018 | BIG-bench Machine LearningPrivacy Preserving | —Unverified | 0 |
| Distilling On-Device Intelligence at the Network Edge | Aug 16, 2019 | Privacy Preserving | —Unverified | 0 |
| Distinguish Then Exploit: Source-free Open Set Domain Adaptation via Weight Barcode Estimation and Sparse Label Assignment | Jan 1, 2025 | Domain AdaptationPrivacy Preserving | —Unverified | 0 |
| DISTINQT: A Distributed Privacy Aware Learning Framework for QoS Prediction for Future Mobile and Wireless Networks | Jan 15, 2024 | Federated LearningPrediction | —Unverified | 0 |
| DPpack: An R Package for Differentially Private Statistical Analysis and Machine Learning | Sep 19, 2023 | DescriptivePrivacy Preserving | —Unverified | 0 |
