| Differentially Private Language Models Benefit from Public Pre-training | Sep 13, 2020 | Language ModelingLanguage Modelling | —Unverified | 0 |
| DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning | Jul 8, 2025 | Privacy Preserving | —Unverified | 0 |
| Differentially Private Learning with Per-Sample Adaptive Clipping | Dec 1, 2022 | Privacy Preserving | —Unverified | 0 |
| Designing DSIC Mechanisms for Data Sharing in the Era of Large Language Models | Jun 1, 2025 | Privacy Preserving | —Unverified | 0 |
| Designing Fairness in Autonomous Peer-to-peer Energy Trading | Feb 9, 2023 | energy managementenergy trading | —Unverified | 0 |
| Design of Privacy-Preserving Dynamic Controllers | Apr 16, 2020 | Privacy Preserving | —Unverified | 0 |
| Design of Stochastic Quantizers for Privacy Preservation | Mar 5, 2024 | Privacy PreservingQuantization | —Unverified | 0 |
| DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding | Jun 16, 2025 | Activity RecognitionHuman Activity Recognition | —Unverified | 0 |
| Detecting Unknown DGAs without Context Information | May 30, 2022 | AttributeBinary Classification | —Unverified | 0 |
| Differentially Private M-Estimators | Dec 1, 2011 | Privacy Preserving | —Unverified | 0 |
