Luca Massarelli

According to our database, Luca Massarelli authored at least 10 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Function Representations for Binary Similarity.

Luca Massarelli, Giuseppe Antonio Di Luna, Fabio Petroni, Leonardo Querzoni, Roberto Baldoni

IEEE Trans. Dependable Secur. Comput., 2022

2021

Who's debugging the debuggers? exposing debug information bugs in optimized binaries.

Giuseppe Antonio Di Luna, Davide Italiano, Luca Massarelli, Sebastian Österlund, Cristiano Giuffrida, Leonardo Querzoni

Proceedings of the ASPLOS '21: 26th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2021

2020

AndroDFA: Android Malware Classification Based on Resource Consumption.

Luca Massarelli, Leonardo Aniello, Claudio Ciccotelli, Leonardo Querzoni, Daniele Ucci, Roberto Baldoni

Inf., 2020

Who is Debugging the Debuggers? Exposing Debug Information Bugs in Optimized Binaries.

Giuseppe Antonio Di Luna, Davide Italiano, Luca Massarelli, Sebastian Österlund, Cristiano Giuffrida, Leonardo Querzoni

CoRR, 2020

How Decoding Strategies Affect the Verifiability of Generated Text.

Luca Massarelli, Fabio Petroni, Aleksandra Piktus, Myle Ott, Tim Rocktäschel, Vassilis Plachouras, Fabrizio Silvestri, Sebastian Riedel

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019

Function Naming in Stripped Binaries Using Neural Networks.

Fiorella Artuso, Giuseppe Antonio Di Luna, Luca Massarelli, Leonardo Querzoni

CoRR, 2019

Triage of IoT Attacks Through Process Mining.

Simone Coltellese, Fabrizio Maria Maggi, Andrea Marrella, Luca Massarelli, Leonardo Querzoni

Proceedings of the On the Move to Meaningful Internet Systems: OTM 2019 Conferences, 2019

SAFE: Self-Attentive Function Embeddings for Binary Similarity.

Luca Massarelli, Giuseppe Antonio Di Luna, Fabio Petroni, Roberto Baldoni, Leonardo Querzoni

Proceedings of the Detection of Intrusions and Malware, and Vulnerability Assessment, 2019

2018

Unsupervised Features Extraction for Binary Similarity Using Graph Embedding Neural Networks.

Roberto Baldoni, Giuseppe Antonio Di Luna, Luca Massarelli, Fabio Petroni, Leonardo Querzoni

CoRR, 2018

2017

Android malware family classification based on resource consumption over time.

Luca Massarelli, Leonardo Aniello, Claudio Ciccotelli, Leonardo Querzoni, Daniele Ucci, Roberto Baldoni

Proceedings of the 12th International Conference on Malicious and Unwanted Software, 2017