PFO improves GAN-based split-inference reconstruction via progressive intermediate-feature optimization, but its quantitative claims rest on internally inconsistent metric tables.
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Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization
PFO improves GAN-based split-inference reconstruction via progressive intermediate-feature optimization, but its quantitative claims rest on internally inconsistent metric tables.