Matteo Testa

According to our database, Matteo Testa authored at least 14 papers between 2015 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

Secrecy Analysis of Finite-Precision Compressive Cryptosystems.

Matteo Testa, Tiziano Bianchi, Enrico Magli

IEEE Trans. Inf. Forensics Secur., 2020

Adversarial Learning of Mappings Onto Regularized Spaces for Biometric Authentication.

Arslan Ali, Matteo Testa, Lev Markhasin, Tiziano Bianchi, Enrico Magli

IEEE Access, 2020

BioMetricNet: Deep Unconstrained Face Verification Through Learning of Metrics Regularized onto Gaussian Distributions.

Arslan Ali, Matteo Testa, Tiziano Bianchi, Enrico Magli

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Learning mappings onto regularized latent spaces for biometric authentication.

Matteo Testa, Arslan Ali, Tiziano Bianchi, Enrico Magli

Proceedings of the 21st IEEE International Workshop on Multimedia Signal Processing, 2019

Authnet: Biometric Authentication Through Adversarial Learning.

Arslan Ali, Matteo Testa, Tiziano Bianchi, Enrico Magli

Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

2018

Compressive Bayesian K-SVD.

Matteo Testa, Enrico Magli

Signal Process. Image Commun., 2018

On the secrecy of compressive cryptosystems under finite-precision representation of sensing matrices.

Matteo Testa, Tiziano Bianchi, Enrico Magli

Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

2017

Bayesian K-SVD Using Fast Variational Inference.

Juan G. Serra, Matteo Testa, Rafael Molina, Aggelos K. Katsaggelos

IEEE Trans. Image Process., 2017

Energy obfuscation for compressive encryption and processing.

Matteo Testa, Tiziano Bianchi, Enrico Magli

Proceedings of the 2017 IEEE Workshop on Information Forensics and Security, 2017

2016

Autoregressive process parameters estimation from Compressed Sensing measurements and Bayesian dictionary learning.

Matteo Testa

PhD thesis, 2016

Compressive Estimation and Imaging Based on Autoregressive Models.

Matteo Testa, Enrico Magli

IEEE Trans. Image Process., 2016

Compressive classification based on autoregressive features.

Matteo Testa, Enrico Magli

Proceedings of the International Conference on Communications, 2016

2015

Distributed covariance estimation for compressive signal processing.

Matteo Testa, Enrico Magli

Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

Autoregressive process parameter estimation from compressed sensing measurements.

Matteo Testa, Enrico Magli

Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015