Luca Massarelli

PhD Student

PhD program:: XXXIII
email: massarelli@diag.uniroma1.it
phone: +39 0677274003
building: Dipartment of Computer, Control, and Management Engineering, via Ariosto 25, Rome
room: B221




supervisor: Roberto Baldoni / Leonardo Querzoni

I hold a master degree in Physics. Now, I am phd student in engineering in computer science. The main topic of my PhD is the application of deep learning techniques to cyber security problems. In particular, Binary Analysis and Malware Analysis. During my PhD I was research intern in Facebook AI Research in London, where I had the opportunity to conduct research in the Natural Language Processing field.

Research products

11573/1555591 - 2021 - Who's Debugging the Debuggers? Exposing Debug Information Bugs in Optimized Binaries
Di Luna, G. A.; Italiano, D.; Massarelli, L.; Osterlund, S.; Giuffrida, C.; Querzoni, L. - 04b Atto di convegno in volume
conference: Architectural Support for Programming Languages and Operating Systems (usa)
book: ASPLOS 2021: Proceedings of the 26th ACM International Conference on Architectural Support for Programming Languages and Operating Systems - (9781450383172)

11573/1477115 - 2021 - Function Representations for Binary Similarity
Massarelli, Luca; Di Luna, Giuseppe Antonio; Petroni, Fabio; Querzoni, Leonardo; Baldoni, Roberto - 01a Articolo in rivista
paper: IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING (IEEE Computer society New York) pp. -15 - issn: 1545-5971 - wos: WOS:000822381000001 (4) - scopus: 2-s2.0-85099729625 (3)

11573/1413959 - 2020 - AndroDFA: Android Malware Classification Based on Resource Consumption
Massarelli, Luca; Aniello, Leonardo; Ciccotelli, Claudio; Querzoni, Leonardo; Ucci, Daniele; Baldoni, Roberto - 01a Articolo in rivista
paper: INFORMATION (Basel: Molecular Diversity Preservation International) pp. - - issn: 2078-2489 - wos: WOS:000551236800014 (7) - scopus: 2-s2.0-85087498938 (6)

11573/1481935 - 2020 - How Decoding Strategies Affect the Verifiability of Generated Text
Massarelli, Luca; Petroni, Fabio; Piktus, Aleksandra; Ott, Myle; Rocktaschel, Tim; Plachouras, Vassilis; Silvestri, Fabrizio; Riedel, Sebastian - 04b Atto di convegno in volume
conference: Findings of the Association for Computational Linguistics: EMNLP 2020 (Online)
book: Findings of the Association for Computational Linguistics: EMNLP 2020 - ()

11573/1321763 - 2019 - Triage of IoT Attacks Through Process Mining
Coltellese, Simone; Maria Maggi, Fabrizio; Marrella, Andrea; Massarelli, Luca; Querzoni, Leonardo - 04b Atto di convegno in volume
conference: On the Move to Meaningful Internet Systems: OTM 2019 Conferences (Rhodes; Greece)
book: On the Move to Meaningful Internet Systems: OTM 2019 Conferences - (978-3-030-33245-7; 978-3-030-33246-4)

11573/1285253 - 2019 - SAFE: Self-Attentive Function Embeddings for Binary Similarity
Massarelli, Luca; Di Luna, Giuseppe Antonio; Petroni, Fabio; Baldoni, Roberto; Querzoni, Leonardo - 04b Atto di convegno in volume
conference: 16th International Conference on Detection of Intrusions and Malware, and Vulnerability Assessment DIMVA 2019 (Gothenburg; Sweden)
book: Detection of Intrusions and Malware, and Vulnerability Assessment - (978-3-030-22037-2; 978-3-030-22038-9)

11573/1285230 - 2019 - Investigating Graph Embedding Neural Networks with Unsupervised Features Extraction for Binary Analysis
Massarelli, Luca; Di Luna, Giuseppe Antonio; Petroni, Fabio; Querzoni, Leonardo; Baldoni, Roberto - 04b Atto di convegno in volume
conference: 2nd Workshop on Binary Analysis Research (BAR 2019) (San Diego (CA); United States)
book: Proceedings BAR 2019 Workshop on Binary Analysis Research - (1-891562-58-4)

11573/1160258 - 2017 - Android malware family classification based on resource consumption over time
Massarelli, L; Aniello, L; Ciccotelli, C; Querzoni, L.; Ucci, D.; Baldoni, R. - 04b Atto di convegno in volume
conference: 12th International Conference on Malicious and Unwanted Software, MALWARE 2017 (Fajardo, Puerto Rico, USA)
book: Proceedings of the 2017 12th International Conference on Malicious and Unwanted Software, MALWARE 2017 - (9781538614365; 978-1-5386-2592-7)

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