activity
20172020
most citedIn Nomine Function: Naming Functions in Stripped Binaries with Neural Networks

12 citations · 22 across the 5 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★ 12 cited

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★ 9 cited

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.CR2017★ 1 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…