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Matteo Marini

dblp:264/5290 · DBLP profile ↗
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2ranked-venue papers
1as first author
2since 2021 · last 2025
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 2 · 1 first-author · 2 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Software engineering, system software, and programming languages
2 papers
Program analysis · 60% Software testing · 40%
Network and information security
2 papers
Systems and software security · 100%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Systems and software security
memory safety
0.912025
QMSan: Efficiently Detecting Uninitialized Memory Errors During Fuzzing · NDSS 2025
Software testing
fuzzing
0.912025
QMSan: Efficiently Detecting Uninitialized Memory Errors During Fuzzing · NDSS 2025
Program analysis
dynamic analysis
0.712023
Designing Robust API Monitoring Solutions · IEEE Trans. Dependable Secur. Comput. 2023
Program analysis › dynamic analysis
dynamic binary instrumentation
0.712023
Designing Robust API Monitoring Solutions · IEEE Trans. Dependable Secur. Comput. 2023

Methods — techniques the papers use, named apart from their topics

fuzzing · 1.7dynamic analysis · 1.7system call tracing · 1.3library call tracing · 1.3
YearPublicationVenuePosition
2025 QMSan: Efficiently Detecting Uninitialized Memory Errors During Fuzzing
Matteo Marini, Daniele Cono D'Elia, Mathias Payer, Leonardo Querzoni
NDSS1
2023 Designing Robust API Monitoring Solutions
abstract
Tracing the sequence of library calls and system calls that a program makes is very helpful to characterize its interactions with the surrounding environment and, ultimately, its semantics. However, due to the entanglements of real-world software stacks, accomplishing this task can be surprisingly challenging as we take accuracy, reliability, and transparency into the equation. In this article, we identify six challenges that API monitoring solutions should overcome in order to manage these dimensions effectively and outline actionable design points for building robust API tracers that can be used even for security research. We then detail and evaluate SNIPER, an open-source API tracing system available in two variants based on dynamic binary instrumentation (for simplified in-guest deployment) and hardware-assisted virtualization (realizing the first general user-space tracer of this kind), respectively.
Daniele Cono D'Elia, Simone Nicchi, Matteo Mariani, Matteo Marini, Federico Palmaro
IEEE Trans. Dependable Secur. Comput.4