activity
20172020
most citedAndroid Malware Family Classification Based on Resource Consumption over Time

1 citations · 1 across the 2 of their papers we have counts for

collaborators

6 papers

cs.SE2020

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

Giuseppe Antonio Di Luna, Davide Italiano, Luca Massarelli +3

Despite the advancements in software testing, bugs still plague deployed software and result in crashes in production. When debugging issues -- sometimes caused by "heisenbugs" --…

cs.LG2019

In Nomine Function: Naming Functions in Stripped Binaries with Neural Networks

Fiorella Artuso, Giuseppe Antonio Di Luna, Luca Massarelli +1

In this paper we investigate the problem of automatically naming pieces of assembly code. Where by naming we mean assigning to an assembly function a string of words that would lik…

cs.CL2019

How Decoding Strategies Affect the Verifiability of Generated Text

Luca Massarelli, Fabio Petroni, Aleksandra Piktus +5

Recent progress in pre-trained language models led to systems that are able to generate text of an increasingly high quality. While several works have investigated the fluency and…

cs.LG2018

Unsupervised Features Extraction for Binary Similarity Using Graph Embedding Neural Networks

Roberto Baldoni, Giuseppe Antonio Di Luna, Luca Massarelli +2

In this paper we consider the binary similarity problem that consists in determining if two binary functions are similar only considering their compiled form. This problem is know…

cs.CR2018

SAFE: Self-Attentive Function Embeddings for Binary Similarity

Luca Massarelli, Giuseppe Antonio Di Luna, Fabio Petroni +2

The binary similarity problem consists in determining if two functions are similar by only considering their compiled form. Advanced techniques for binary similarity recently gaine…

cs.CR20171 cited

Android Malware Family Classification Based on Resource Consumption over Time

Luca Massarelli, Leonardo Aniello, Claudio Ciccotelli +3

The vast majority of today's mobile malware targets Android devices. This has pushed the research effort in Android malware analysis in the last years. An important task of malware…