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Giorgio Giacinto

Giorgio Giacinto

D-Index & Metrics

Computer Science

D-Index
51
Citations
12180
World Ranking
5281
National Ranking
113

Research.com Recognitions

  • 2020 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to pattern recognition for computer security
  • 2010 - ACM Senior Member

Overview

Giorgio Giacinto is affiliated with the University of Cagliari in Italy and has contributed extensively to the field of computer science, particularly focusing on areas related to security, artificial intelligence, and signal processing. Their research spans various subfields, including artificial intelligence, signal processing, computer networks and communications, information systems, and computer vision and pattern recognition.

The main topics Giorgio Giacinto has worked on include:

  • Advanced Malware Detection Techniques
  • Network Security and Intrusion Detection
  • Adversarial Robustness in Machine Learning
  • Anomaly Detection Techniques and Applications
  • Digital and Cyber Forensics
  • Software Testing and Debugging Techniques
  • Spam and Phishing Detection

Giacinto's publication record includes papers across prominent venues. Frequent publication outlets include arXiv (Cornell University), Computers & Security, Multimedia Tools and Applications, UNICA IRIS Institutional Research Information System (University of Cagliari), and the Journal of Information Security and Applications.

Recent papers by Giorgio Giacinto include:

  • Convolutional neural networks for relevance feedback in content based image retrieval, 2020, Multimedia Tools and Applications
  • Do gradient-based explanations tell anything about adversarial robustness to android malware?, 2022, UNICA IRIS Institutional Research Information System (University of Cagliari)
  • Adversarial Detection of Flash Malware: Limitations and Open Issues, 2020, Computers & Security
  • On the Feasibility of Adversarial Sample Creation Using the Android System API, 2020, Information
  • Enhancing android malware detection explainability through function call graph APIs, 2024, Journal of Information Security and Applications

Giacinto collaborates frequently with several researchers in security and machine learning, including Davide Maiorca, Ambra Demontis, Battista Biggio, Fabio Roli, and Michele Scalas. Their partnership reflects a focus on adversarial machine learning and malware detection techniques.

Among the recognitions received, Giorgio Giacinto was named a Fellow of the International Association for Pattern Recognition (IAPR) in 2020 for contributions to pattern recognition in computer security. Additionally, they were designated as an ACM Senior Member in 2010.

Best Publications

  • Evasion attacks against machine learning at test time

    Battista Biggio;Igino Corona;Davide Maiorca;Blaine Nelson

  • Design of effective neural network ensembles for image classification purposes

    Giorgio Giacinto;Fabio Roli

  • Evasion Attacks against Machine Learning at Test Time

    Battista Biggio;Igino Corona;Davide Maiorca;Blaine Nelson

  • Novel Feature Extraction, Selection and Fusion for Effective Malware Family Classification

    Mansour Ahmadi;Dmitry Ulyanov;Stanislav Semenov;Mikhail Trofimov

  • McPAD: A multiple classifier system for accurate payload-based anomaly detection

    Roberto Perdisci;Davide Ariu;Prahlad Fogla;Giorgio Giacinto

  • Dynamic classifier selection based on multiple classifier behaviour

    Giorgio Giacinto;Fabio Roli

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

    Bojan Kolosnjaji;Ambra Demontis;Battista Biggio;Davide Maiorca

  • Fusion of multiple classifiers for intrusion detection in computer networks

    Giorgio Giacinto;Fabio Roli;Luca Didaci

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

    Ambra Demontis;Marco Melis;Battista Biggio;Davide Maiorca

  • Intrusion detection in computer networks by a modular ensemble of one-class classifiers

    Giorgio Giacinto;Roberto Perdisci;Mauro Del Rio;Fabio Roli

  • Methods for Designing Multiple Classifier Systems

    Fabio Roli;Giorgio Giacinto;Gianni Vernazza

  • An approach to the automatic design of multiple classifier systems

    Giorgio Giacinto;Fabio Roli

  • Adversarial attacks against intrusion detection systems: Taxonomy, solutions and open issues

    Igino Corona;Giorgio Giacinto;Fabio Roli

  • DroidSieve: Fast and Accurate Classification of Obfuscated Android Malware

    Guillermo Suarez-Tangil;Santanu Kumar Dash;Mansour Ahmadi;Johannes Kinder

  • Reject option with multiple thresholds

    Giorgio Fumera;Fabio Roli;Giorgio Giacinto

  • Combination of neural and statistical algorithms for supervised classification of remote-sensing images

    Giorgio Giacinto;Fabio Roli;Lorenzo Bruzzone

  • Stealth attacks: An extended insight into the obfuscation effects on Android malware

    Davide Maiorca;Davide Ariu;Igino Corona;Marco Aresu

  • Rapid and brief communication: A study on the performances of dynamic classifier selection based on local accuracy estimation

    Luca Didaci;Giorgio Giacinto;Fabio Roli;Gian Luca Marcialis

  • HMMPayl: An intrusion detection system based on Hidden Markov Models

    Davide Ariu;Roberto Tronci;Giorgio Giacinto

  • Alarm clustering for intrusion detection systems in computer networks

    Roberto Perdisci;Giorgio Giacinto;Fabio Roli

  • Methods for dynamic classifier selection

    G. Giacinto;F. Roli

Frequent Co-Authors

Fabio Roli
Fabio Roli University of Genoa
Battista Biggio
Battista Biggio University of Cagliari
Giorgio Fumera
Giorgio Fumera University of Cagliari
Roberto Perdisci
Roberto Perdisci University of Georgia
Konrad Rieck
Konrad Rieck Technische Universität Braunschweig
Francesco Mercaldo
Francesco Mercaldo University of Molise
Corrado Aaron Visaggio
Corrado Aaron Visaggio University of Sannio
Maurizio Migliaccio
Maurizio Migliaccio Parthenope University of Naples
Fabio Martinelli
Fabio Martinelli National Research Council (CNR)
Claudia Eckert
Claudia Eckert The Open University

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