activity
20142024
most citedOn the Feasibility of Cross-Language Detection of Malicious Packages in npm and PyPI

22 citations · 47 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG20248 cited

Identifying architectural design decisions for achieving green ML serving

Francisco Durán, Silverio Martínez-Fernández, Matias Martinez +1

The growing use of large machine learning models highlights concerns about their increasing computational demands. While the energy consumption of their training phase has received…

cs.CR202322 cited

On the Feasibility of Cross-Language Detection of Malicious Packages in npm and PyPI

Piergiorgio Ladisa, Serena Elisa Ponta, Nicola Ronzoni +2

Current software supply chains heavily rely on open-source packages hosted in public repositories. Given the popularity of ecosystems like npm and PyPI, malicious users started to…

cs.CR2023

Journey to the Center of Software Supply Chain Attacks

Piergiorgio Ladisa, Serena Elisa Ponta, Antonino Sabetta +2

This work discusses open-source software supply chain attacks and proposes a general taxonomy describing how attackers conduct them. We then provide a list of safeguards to mitigat…

cs.LG202311 cited

Energy Efficiency of Training Neural Network Architectures: An Empirical Study

Yinlena Xu, Silverio Martínez-Fernández, Matias Martinez +1

The evaluation of Deep Learning models has traditionally focused on criteria such as accuracy, F1 score, and related measures. The increasing availability of high computational pow…

cs.SE20146 cited

ASTOR: Evolutionary Automatic Software Repair for Java

Matias Martinez, Martin Monperrus

Context: During last years, many automatic software repair approaches have been presented by the software engineering research community. According to the corresponding papers, the…