Vincenzo Matta

Orcid: 0000-0002-2046-4027

According to our database1, Vincenzo Matta authored at least 118 papers between 2003 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Learning From Heterogeneous Data Based on Social Interactions Over Graphs.
IEEE Trans. Inf. Theory, May, 2023

Partial Information Sharing Over Social Learning Networks.
IEEE Trans. Inf. Theory, March, 2023

Estimating the Topology of Preferential Attachment Graphs Under Partial Observability.
IEEE Trans. Inf. Theory, February, 2023

Quantization for Decentralized Learning Under Subspace Constraints.
IEEE Trans. Signal Process., 2023

Memory-Aware Social Learning Under Partial Information Sharing.
IEEE Trans. Signal Process., 2023

Compressed Regression over Adaptive Networks.
CoRR, 2023

Learning Dynamic Graphs under Partial Observability.
Proceedings of the IEEE International Conference on Acoustics, 2023

The Role of Memory in Social Learning When Sharing Partial Opinions.
Proceedings of the IEEE International Conference on Acoustics, 2023

Compressed Distributed Regression over Adaptive Networks.
Proceedings of the IEEE International Conference on Acoustics, 2023

Social Learning with Non-Bayesian Local Updates.
Proceedings of the 31st European Signal Processing Conference, 2023

2022
Distributed Bayesian Learning of Dynamic States.
CoRR, 2022

Cyber-Threat Propagation over Network-Slicing Architectures.
Proceedings of the IEEE International Conference on Acoustics, 2022

Adaptive Diffusion with Compressed Communication.
Proceedings of the IEEE International Conference on Acoustics, 2022

Finite Bit Quantization for Decentralized Learning Under Subspace Constraints.
Proceedings of the 30th European Signal Processing Conference, 2022

2021
Adaptive Social Learning.
IEEE Trans. Inf. Theory, 2021

Botnet Identification in DDoS Attacks With Multiple Emulation Dictionaries.
IEEE Trans. Inf. Forensics Secur., 2021

Adversarial Kendall's Model Towards Containment of Distributed Cyber-Threats.
IEEE Trans. Inf. Forensics Secur., 2021

Distributed Adaptive Learning Under Communication Constraints.
CoRR, 2021

Learning Bollobás-Riordan Graphs Under Partial Observability.
Proceedings of the IEEE International Conference on Acoustics, 2021

Application-Layer DDOS Attacks with Multiple Emulation Dictionaries.
Proceedings of the IEEE International Conference on Acoustics, 2021

Network Classifiers Based on Social Learning.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Local Tomography of Large Networks Under the Low-Observability Regime.
IEEE Trans. Inf. Theory, 2020

ADVoIP: Adversarial Detection of Encrypted and Concealed VoIP.
IEEE Trans. Inf. Forensics Secur., 2020

Graph Learning Under Partial Observability.
Proc. IEEE, 2020

Learning Graph Influence from Social Interactions.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Social Learning with Partial Information Sharing.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Adaptation in Online Social Learning.
Proceedings of the 28th European Signal Processing Conference, 2020

2019
Managing Information Constraints Over Networks Through the Lens of Configuration Functions.
IEEE Trans. Signal Inf. Process. over Networks, 2019

Consistent Tomography Under Partial Observations Over Adaptive Networks.
IEEE Trans. Inf. Theory, 2019

Inverse Graph Learning over Optimization Networks.
CoRR, 2019

Interplay between Topology and Social Learning over Weak Graphs.
CoRR, 2019

Topology Inference over Networks with Nonlinear Coupling.
CoRR, 2019

Learning Erdős-Rényi Graphs under Partial Observations: Concentration or Sparsity?
CoRR, 2019

Graph Learning with Partial Observations: Role of Degree Concentration.
Proceedings of the IEEE International Symposium on Information Theory, 2019

Adversarial Detection of Concealed VoIP Traffic.
Proceedings of the International Conference on Computing, Networking and Communications, 2019

Exponential Collapse of Social Beliefs over Weakly-connected Heterogeneous Networks.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Signal Amplitude Estimation and Detection From Unlabeled Binary Quantized Samples.
IEEE Trans. Signal Process., 2018

Cyber-Threat Mitigation Exploiting the Birth-Death-Immigration Model.
IEEE Trans. Inf. Forensics Secur., 2018

Consistent Tomography over Diffusion Networks under the Low-Observability Regime.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Tomography of Adaptive Multi-Agent Networks Under Limited Observation.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Multiple Cyber-Threats Containment Via Kendall's Birth-Death-Immigration Model.
Proceedings of the 26th European Signal Processing Conference, 2018

Divide-and-Conquer Tomography for Large-Scale Networks.
Proceedings of the 2018 IEEE Data Science Workshop, 2018

Tomography of Large Adaptive Networks under the Dense Latent Regime : Invited Paper.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017
Chernoff Test for Strong-or-Weak Radar Models.
IEEE Trans. Signal Process., 2017

DDoS Attacks With Randomized Traffic Innovation: Botnet Identification Challenges and Strategies.
IEEE Trans. Inf. Forensics Secur., 2017

Hypothesis testing in the presence of maxwell's daemon: signal detection by unlabeled observations.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Botnet identification in multi-clustered DDoS attacks.
Proceedings of the 25th European Signal Processing Conference, 2017

2016
Guest Editorial Inference and Learning over Networks.
IEEE Trans. Signal Inf. Process. over Networks, 2016

Distributed Detection Over Adaptive Networks: Refined Asymptotics and the Role of Connectivity.
IEEE Trans. Signal Inf. Process. over Networks, 2016

The Importance of Being Earnest: Social Sensing With Unknown Agent Quality.
IEEE Trans. Signal Inf. Process. over Networks, 2016

Diffusion-Based Adaptive Distributed Detection: Steady-State Performance in the Slow Adaptation Regime.
IEEE Trans. Inf. Theory, 2016

Multisensor adaptive bayesian tracking under time-varying target detection probability.
IEEE Trans. Aerosp. Electron. Syst., 2016

Learning With Privacy in Consensus + Obfuscation.
IEEE Signal Process. Lett., 2016

One plus two may not equal two plus one in a social sensing network with unknown parameters.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Botnet identification in randomized DDoS attacks.
Proceedings of the 24th European Signal Processing Conference, 2016

Detection over diffusion networks: Asymptotic tools for performance prediction and simulation.
Proceedings of the 24th European Signal Processing Conference, 2016

2015
Sensor Network Tomography: The Revenge of the Detected.
IEEE Trans. Signal Process., 2015

Adaptive Bayesian tracking with unknown time-varying sensor network performance.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Exact asymptotics of distributed detection over adaptive networks.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014
Bayesian Tracking in Underwater Wireless Sensor Networks With Port-Starboard Ambiguity.
IEEE Trans. Signal Process., 2014

Achieving Perfect Secrecy by pdf-Bandlimited Jamming.
IEEE Signal Process. Lett., 2014

Asymptotic Performance of Adaptive Distributed Detection over Networks.
CoRR, 2014

How many bits from how many sensors? A trade-off in distributed nearest-neighbor learning.
Proceedings of the IEEE International Conference on Acoustics, 2014

Environmentally sensitive particle filter tracking in multistatic AUV networks with port-starboard ambiguity.
Proceedings of the IEEE International Conference on Acoustics, 2014

Large deviations analysis of adaptive distributed detection.
Proceedings of the IEEE International Conference on Acoustics, 2014

Cognitive multistatic AUV networks.
Proceedings of the 17th International Conference on Information Fusion, 2014

Nearest-neighbor estimation in sensor networks.
Proceedings of the 22nd European Signal Processing Conference, 2014

2013
Nearest-Neighbor Distributed Learning by Ordered Transmissions.
IEEE Trans. Signal Process., 2013

The Embedding Capacity of Information Flows Under Renewal Traffic.
IEEE Trans. Inf. Theory, 2013

Asymptotic Efficiency of the PHD in Multitarget/Multisensor Estimation.
IEEE J. Sel. Top. Signal Process., 2013

Nearest-Neighbor distributed learning under communication constraints.
Proceedings of the IEEE International Conference on Acoustics, 2013

A linear complexity particle approach to the exact multi-sensor PHD.
Proceedings of the IEEE International Conference on Acoustics, 2013

Decentralized nearest-neighbor learning over noisy channels: The uncoded way.
Proceedings of the 16th International Conference on Information Fusion, 2013

Particle filtering approach to multistatic underwater sensor networks with left-right ambiguity.
Proceedings of the 16th International Conference on Information Fusion, 2013

2012
Single-Transmission Distributed Detection via Order Statistics.
IEEE Trans. Signal Process., 2012

Predetection Fusion in Large Sensor Networks with Unknown Target Locations.
J. Adv. Inf. Fusion, 2012

Multitarget-multisensor ML and PHD: Some asymptotics.
Proceedings of the 15th International Conference on Information Fusion, 2012

2011
Consensus-based Page's test in sensor networks.
Signal Process., 2011

Asymptotic Properties of One-Bit Distributed Detection with Ordered Transmissions
CoRR, 2011

Embedding information flows into renewal traffic.
Proceedings of the 2011 IEEE Information Theory Workshop, 2011

Quickest distributed detection via running consensus.
Proceedings of the 19th European Signal Processing Conference, 2011

Asymptotically consistent one-bit detection in large sensor networks.
Proceedings of the 19th European Signal Processing Conference, 2011

2010
Refining decisions after losing data: the unlucky broker problem.
IEEE Trans. Signal Process., 2010

Optimal relay function in the low-power regime for distributed estimation over a MAC.
IEEE Trans. Signal Process., 2010

Asymptotic optimality of running consensus in testing binary hypotheses.
IEEE Trans. Signal Process., 2010

Selective measurement transmission in distributed estimation with data association.
IEEE Trans. Signal Process., 2010

Estimation of target location via likelihood approximation in sensor networks.
IEEE Trans. Signal Process., 2010

Asymptotically optimal power-constrained distributed estimation.
Proceedings of the IEEE International Conference on Acoustics, 2010

The Bayesian unlucky broker.
Proceedings of the 18th European Signal Processing Conference, 2010

2009
Distributed detection with censoring sensors under physical layer secrecy.
IEEE Trans. Signal Process., 2009

Distributed Detection in the Presence of Byzantine Attacks.
IEEE Trans. Signal Process., 2009

Stochastic Resonance in Sequential Detectors.
IEEE Trans. Signal Process., 2009

Distributed estimation with data association: Is the nearest neighbor the most informative?
Proceedings of the 12th International Conference on Information Fusion, 2009

2008
Distributed Estimation in Large Wireless Sensor Networks via a Locally Optimum Approach.
IEEE Trans. Signal Process., 2008

Enforcing Consensus While Monitoring the Environment in Wireless Sensor Networks.
IEEE Trans. Signal Process., 2008

Some aspects of DOA estimation using a network of blind sensors.
Signal Process., 2008

Speedier sequential tests via stochastic resonance.
Proceedings of the IEEE International Conference on Acoustics, 2008

Running consensus in wireless sensor networks.
Proceedings of the 11th International Conference on Information Fusion, 2008

On the divergence-cost function in distributed detection with a secrecy constraint.
Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008

2007
Asymptotic Design of Quantizers for Decentralized MMSE Estimation.
IEEE Trans. Signal Process., 2007

A Likelihood-Based Multiple Access for Estimation in Sensor Networks.
IEEE Trans. Signal Process., 2007

Sequential Sampling in Sensor Networks for Detection With Censoring Nodes.
IEEE Trans. Signal Process., 2007

Fusing Evidences from Intracranial Pressure Data using Dempster-Shafer Theory.
Proceedings of the 15th International Conference on Digital Signal Processing, 2007

Bandwidth Scaling for Efficient Inference Over a Power-Limited MAC.
Proceedings of the IEEE International Conference on Acoustics, 2007

Practical DOA Estimation via a Network of DOA-Blind Sensors.
Proceedings of the IEEE International Conference on Acoustics, 2007

2006
Cross-Layer Design of Sequential Detectors in Sensor Networks.
IEEE Trans. Signal Process., 2006

Support-based and ML approaches to DOA estimation in a dumb sensor network.
IEEE Trans. Signal Process., 2006

Quantizer Precision for Distributed Estimation in a Large Sensor Network.
IEEE Trans. Signal Process., 2006

Sub-optimal all-sky detection of periodic gravitational waves.
Signal Process., 2006

Locally optimum estimation in wireless sensor networks.
Proceedings of the 14th European Signal Processing Conference, 2006

Quantizer Design for Decentralized MMSE Estimation.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006

2005
Multiterminal inference and sensor networks.
PhD thesis, 2005

Some approaches to quantization for distributed estimation with data association.
IEEE Trans. Signal Process., 2005

DOA estimation via a network of dumb sensors under the SENMA paradigm.
IEEE Signal Process. Lett., 2005

Dumb isotropic sensors can find DOAs.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

An idea for quantization with data association.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2003
Sequential testing of sorted and transformed data as an efficient way to implement long GLRTs.
IEEE Trans. Signal Process., 2003

Sequential detection of almost-harmonic signals.
IEEE Trans. Signal Process., 2003


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