Author

Enzo Tartaglione

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Conference Open access Aug 2026

CutClean: Neural Network Pruning for Privacy-Preserving Inference

Neural networks are increasingly deployed in high-stakes applications with growing privacy leakage concerns. We show that this privacy leakage can occur even in the absence of representation imbalances that lead to traditional dataset biases. This poses significant privacy risks when deploying models that process sensi...

Leonardo Magliolo, Vito Paolo Pastore, Giuseppe Valenzise et al. · International Conference on... · 0 citations

#machine learning Preprint Sep 2026

From Deep to Shallow: Unconstrained and Efficient Layer Merging Strategy

Although Deep Neural Networks have become foundational in many areas of Machine Learning, high computational demands limit their application in resource-constrained environments. To address this issue, depth compression methods have been proposed to identify and linearize redundant activation functions, thereby allowin...

P. Shul'zhenko, Gabriele Spadaro, Enzo Tartaglione · 0 citations