Giorgio Giacinto

professor

Dipartimento di Ingegneria Elettrica ed Elettronica Pad. B Universit degli Studi di Cagliari

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Papers155 papers

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Convolutional neural networks for relevance feedback in content based image retrieval: A Content based image retrieval system that exploits convolutional neural networks both for feature extraction and for relevance feedback

Lorenzo Putzu,Luca Piras,Giorgio Giacinto

Multimedia Tools and Applications, (2020): 26995-27021

Bibtex

On the Feasibility of Adversarial Sample Creation Using the Android System API

Fabrizio Cara, Michele Scalas,Giorgio Giacinto,Davide Maiorca

Inf., no. 9 (2020): 433

EIBibtex

Defensive Programming for Smart Home Cybersecurity

Maria Teresa Rossi, Renan Greca,Ludovico Iovino,Giorgio Giacinto, Antonia Bertoli

EuroS&P Workshops, pp.600-605, (2020)

EIBibtex

Adversarial Detection of Flash Malware: Limitations and Open Issues

Davide Maiorca,Battista Biggio, Maria Elena Chiappe,Giorgio Giacinto

Computers & Security, (2020): 101901

Bibtex

Convolutional neural networks for relevance feedback in content based image retrieval

Lorenzo Putzu,Luca Piras,Giorgio Giacinto

MULTIMEDIA TOOLS AND APPLICATIONS, no. 37-38 (2020): 26995.0-27021.0

EIBibtex

Adversarial Detection of Flash Malware: Limitations and Open Issues

Davide Maiorca, Ambra Demontis,Battista Biggio,Fabio Roli,Giorgio Giacinto

Computers & Security, (2020): 101901

EIBibtex

Do Gradient-based Explanations Tell Anything About Adversarial Robustness to Android Malware

Melis Marco, Scalas Michele, Demontis Ambra,Maiorca Davide,Biggio Battista,Giacinto Giorgio,Roli Fabio

Bibtex

Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection

Ambra Demontis,Marco Melis,Battista Biggio,Davide Maiorca,Daniel Arp,Konrad Rieck,Igino Corona,Giorgio Giacinto,Fabio Roli

IEEE Transactions on Dependable and Secure Computing, no. 4 (2019)

Cited by102EIWOSBibtex

Towards Adversarial Malware Detection: Lessons Learned from PDF-based Attacks

Davide Maiorca,Battista Biggio,Giorgio Giacinto

ACM Computing Surveys (CSUR), no. 4 (2019): 78-36

Cited by11EIBibtex

PowerDrive: Accurate De-Obfuscation and Analysis of PowerShell Malware

Denis Ugarte,Davide Maiorca, Fabrizio Cara,Giorgio Giacinto

arXiv: Cryptography and Security, (2019)

Cited by2EIBibtex

On the Effectiveness of System API-Related Information for Android Ransomware Detection

Michele Scalas,Davide Maiorca,Francesco Mercaldo,Corrado Aaron Visaggio,Fabio Martinelli,Giorgio Giacinto

Computers & Security, (2019): 168-182

Cited by7EIBibtex

Automotive Cybersecurity: Foundations for Next-Generation Vehicles

Scalas Michele,Giacinto Giorgio

2019 2nd International Conference on new Trends in Computing Sciences (ICTCS), (2019)

Bibtex

R-PackDroid: Practical On-Device Detection of Android Ransomware

Michele Scalas,Davide Maiorca,Francesco Mercaldo,Corrado Aaron Visaggio, Fabio Martinelli,Giorgio Giacinto

arXiv: Cryptography and Security, (2018)

EIBibtex

Towards Robust Detection of Adversarial Infection Vectors: Lessons Learned in PDF Malware

Davide Maiorca,Battista Biggio,Giorgio Giacinto

arXiv: Cryptography and Security, (2018)

Cited by1EIBibtex

Explaining Black-box Android Malware Detection

Marco Melis,Davide Maiorca,Battista Biggio,Giorgio Giacinto,Fabio Roli

European Signal Processing Conference, (2018): 524-528

Cited by3EIBibtex

Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in Executables

Bojan Kolosnjaji, Ambra Demontis,Battista Biggio,Davide Maiorca,Giorgio Giacinto,Claudia Eckert,Fabio Roli

European Signal Processing Conference, (2018): 533-537

Cited by73EIBibtex

Ten Years of Relevance Score for Content Based Image Retrieval

Lorenzo Putzu,Luca Piras,Giorgio Giacinto

MLDM, pp.117-131, (2018)

Cited by2EIBibtex

IntelliAV: Building an Effective On-Device Android Malware Detector

Mansour Ahmadi, Angelo Sotgiu,Giorgio Giacinto

arXiv: Cryptography and Security, (2018)

EIBibtex

Detection of Malicious Scripting Code Through Discriminant and Adversary-Aware API Analysis

Davide Maiorca,Paolo Russu, Igino Corona,Battista Biggio,Giorgio Giacinto

ITASEC, pp.96-105, (2017)

Cited by1EIBibtex

Deepsquatting: Learning-Based Typosquatting Detection at Deeper Domain Levels

Paolo Piredda, Davide Ariu,Battista Biggio, Igino Corona,Luca Piras,Giorgio Giacinto,Fabio Roli

AI*IA 2017 ADVANCES IN ARTIFICIAL INTELLIGENCE, (2017): 347-358

Cited by1EIBibtex

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Giorgio GiacintoBinding

Papers155 papers

Giorgio Giacinto