activity
20102025
most citedLow-complexity Multiclass Encryption by Compressed Sensing

148 citations · 407 across the 16 of their papers we have counts for

collaborators
Showing cs.ITShow all

5 papers · 1 filter

cs.IT2021★ 1 cited

Anomaly Detection based on Compressed Data: an Information Theoretic Characterization

Alex Marchioni, Andriy Enttsel, Mauro Mangia +2

We analyze the effect of lossy compression in the processing of sensor signals that must be used to detect anomalous events in the system under observation. The intuitive relations…

cs.IT2013★ 89 cited

On Known-Plaintext Attacks to a Compressed Sensing-based Encryption: A Quantitative Analysis

Valerio Cambareri, Mauro Mangia, Fabio Pareschi +2

Despite the linearity of its encoding, compressed sensing may be used to provide a limited form of data protection when random encoding matrices are used to produce sets of low-dim…

cs.IT2013★ 148 cited

Low-complexity Multiclass Encryption by Compressed Sensing

Valerio Cambareri, Mauro Mangia, Fabio Pareschi +2

The idea that compressed sensing may be used to encrypt information from unauthorised receivers has already been envisioned, but never explored in depth since its security may seem…

cs.IT2012★ 90 cited

Rakeness in the design of Analog-to-Information Conversion of Sparse and Localized Signals

Mauro Mangia, Riccardo Rovatti, Gianluca Setti

Design of Random Modulation Pre-Integration systems based on the restricted-isometry property may be suboptimal when the energy of the signals to be acquired is not evenly distribu…

cs.IT2010★ 1 cited

Determination of the Integrated Sidelobe Level of Sets of Rotated Legendre Sequences

Salvador Javier Haboba, Riccardo Rovatti, Gianluca Setti

Sequences sets with low aperiodic auto- and cross-correlations play an important role in many applications like communications, radar and other active sensing applications. The use…