Introduces Generative Privacy Funnel (GenPF) and deep variational PF (DVPF) models that extend the privacy funnel to generative settings and provide a controllable privacy-utility trade-off with reduced sensitive attribute leakage in face recognition.
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A message passing algorithm exploits known array geometry to link local AoA estimates across subarrays for efficient short-range LoS MIMO channel reconstruction.
UHR-Net proposes uncertainty-aware instance contrastive pretraining and an entropy-guided hypergraph refinement block to achieve consistent segmentation gains on five medical image benchmarks.
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Deep Privacy Funnel Model: From a Discriminative to a Generative Approach with an Application to Face Recognition
Introduces Generative Privacy Funnel (GenPF) and deep variational PF (DVPF) models that extend the privacy funnel to generative settings and provide a controllable privacy-utility trade-off with reduced sensitive attribute leakage in face recognition.
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A Geometry-aided Message Passing Method for AoA-Based Short Range MIMO Channel Estimation
A message passing algorithm exploits known array geometry to link local AoA estimates across subarrays for efficient short-range LoS MIMO channel reconstruction.
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UHR-Net: An Uncertainty-Aware Hypergraph Refinement Network for Medical Image Segmentation
UHR-Net proposes uncertainty-aware instance contrastive pretraining and an entropy-guided hypergraph refinement block to achieve consistent segmentation gains on five medical image benchmarks.