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šŸ‘‹ Hi, Iā€™m @Djack1010

I am a Back-end developer and a Research Fellow with a Ph.D. in Computer Science, specializing in Cybersecurity and Deep Learning. My research interests include Malware Analysis, Formal Methods, Deep Learning, and Explainable AI. In addition to my research outcome, I work as a Back-end developer (mainly Python, Java and Elixir) with companies and international research projects. Currently, I supervise research projects at the Institute of Informatics and Telematics (IIT) of the National Research Council of Italy (CNR) while also serving as an Elixir Back-end developer at Turn.io. I am passionate about coding and am committed to working on projects that benefit the community, whether it involves safeguarding people's data and devices through research or creating software that enhances the quality of people's lives.

šŸ“« How to reach me:

  • work email (research projects) -> giacomo.iadarola(at)iit.cnr.it
  • work email -> giacomo(at)turn.io
  • personal email -> gia.iadarola(at)gmail.com
  • CV/Portfolio -> https://giacomo-iadarola.duckdns.org/

Giacomo Iadarola's Projects

bug_db icon bug_db

data repository for the bug datasets

dexwave icon dexwave

A modular and customizable DEX obfuscator that defeats image-based Malware Classificator

sciba_malwareimg2smali icon sciba_malwareimg2smali

Repository to replicate the experiments presented in 'A Semi-Automated Explainability-Driven Approach for Malware Analysis through Deep Learning' by Iadarola G. et al.

tami icon tami

Tool for Analyzing Malware represented as Images

towards_interpretable_dl_models icon towards_interpretable_dl_models

Repository to replicate the experiments presented in 'Towards an Interpretable Deep Learning Model for Mobile Malware Detection and Family Identification' by Iadarola G. et al.

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