| Differentially Private Normalizing Flows for Density Estimation, Data Synthesis, and Variational Inference with Application to Electronic Health Records | Feb 11, 2023 | Density EstimationPrivacy Preserving | CodeCode Available | 0 |
| Vertical Federated Knowledge Transfer via Representation Distillation for Healthcare Collaboration Networks | Feb 11, 2023 | DiagnosticFederated Learning | —Unverified | 0 |
| Semi-decentralized Federated Ego Graph Learning for Recommendation | Feb 10, 2023 | Collaborative FilteringGraph Learning | —Unverified | 0 |
| Privacy Against Agnostic Inference Attacks in Vertical Federated Learning | Feb 10, 2023 | Federated LearningInference Attack | —Unverified | 0 |
| On Achieving Privacy-Preserving State-of-the-Art Edge Intelligence | Feb 10, 2023 | Edge-computingModel Compression | —Unverified | 0 |
| Designing Fairness in Autonomous Peer-to-peer Energy Trading | Feb 9, 2023 | energy managementenergy trading | —Unverified | 0 |
| Offsite-Tuning: Transfer Learning without Full Model | Feb 9, 2023 | modelPrivacy Preserving | CodeCode Available | 2 |
| Privacy-Preserving Representation Learning for Text-Attributed Networks with Simplicial Complexes | Feb 9, 2023 | Graph ReconstructionInference Attack | —Unverified | 0 |
| Understanding Policy and Technical Aspects of AI-Enabled Smart Video Surveillance to Address Public Safety | Feb 8, 2023 | Action DetectionAnomaly Detection | —Unverified | 0 |
| Measuring the Privacy Leakage via Graph Reconstruction Attacks on Simplicial Neural Networks (Student Abstract) | Feb 8, 2023 | DecoderGraph Attention | —Unverified | 0 |
