4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.CR2024
Inference Privacy: Properties and Mechanisms
Fengwei Tian, Ravi Tandon
Ensuring privacy during inference stage is crucial to prevent malicious third parties from reconstructing users' private inputs from outputs of public models. Despite a large body…
cs.AI2024★ 4 cited
Methodology and Real-World Applications of Dynamic Uncertain Causality Graph for Clinical Diagnosis with Explainability and Invariance
Zhan Zhang, Qin Zhang, Yang Jiao +18
AI-aided clinical diagnosis is desired in medical care. Existing deep learning models lack explainability and mainly focus on image analysis. The recently developed Dynamic Uncerta…