Author

Enzo Tartaglione

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Conference Open access Aug 2026

CutClean: Neural Network Pruning for Privacy-Preserving Inference

CutClean is a privacy-aware pruning method that allows to reduce privacy information flow through the network, while increasing its sparsity, and effectively minimizes private information flow while achieving high sparsity rates and preserving classification target accuracy.

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