Ranindya Paramitha

14 papers A 1B 2Journal 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
Research Directions in Software Supply Chain Security.
ACM Trans. Softw. Eng. Methodol.
Laurie A. Williams, Giacomo Benedetti, Sivana Hamer, Ranindya Paramitha, Imranur Rahman, Mahzabin Tamanna, Greg Tystahl, Nusrat Zahan, Patrick Morrison, Yasemin Acar, Michel Cukier, Christian Kästner, Alexandros Kapravelos, Dominik Wermke, William Enck
2025 J jnl
Today's Cat Is Tomorrow's Dog: Accounting for Time-Based Changes in the Labels of ML Vulnerability Detection Approaches.
CoRR
Ranindya Paramitha, Yuan Feng, Fabio Massacci
2025 J jnl
Today's Cat Is Tomorrow's Dog: Accounting for Time-Based Changes in the Labels of ML Vulnerability Detection Approaches.
Proc. ACM Softw. Eng.
Ranindya Paramitha, Yuan Feng, Fabio Massacci
2024 J jnl
APR4Vul: an empirical study of automatic program repair techniques on real-world Java vulnerabilities.
Empir. Softw. Eng.
Quang-Cuong Bui, Ranindya Paramitha, Duc-Ly Vu, Fabio Massacci, Riccardo Scandariato
2024 J jnl
Addressing combinatorial experiments and scarcity of subjects by provably orthogonal and crossover experimental designs.
J. Syst. Softw.
Fabio Massacci, Aurora Papotti, Ranindya Paramitha
2024 J jnl
Cross-ecosystem categorization: A manual-curation protocol for the categorization of Java Maven libraries along Python PyPI Topics.
CoRR
Ranindya Paramitha, Yuan Feng, Fabio Massacci, Carlos E. Budde
2024 J jnl
Forecasting the risk of software choices: A model to foretell security vulnerabilities from library dependencies and source code evolution.
CoRR
Carlos E. Budde, Ranindya Paramitha, Fabio Massacci
2024 A conf
Hash4Patch: A Lightweight Low False Positive Tool for Finding Vulnerability Patch Commits.
MSR
Simone Scalco, Ranindya Paramitha
2024 J jnl
Known Vulnerabilities of Open Source Projects: Where Are the Fixes?
IEEE Secur. Priv.
Antonino Sabetta, Serena Elisa Ponta, Rocío Cabrera Lozoya, Michele Bezzi, Tommaso Sacchetti, Matteo Greco, Gergö Balogh, Péter Hegedüs, Rudolf Ferenc, Ranindya Paramitha, Ivan Pashchenko, Aurora Papotti, Ákos Milánkovich, Fabio Massacci
2024 J jnl
On the acceptance by code reviewers of candidate security patches suggested by Automated Program Repair tools.
Empir. Softw. Eng.
Aurora Papotti, Ranindya Paramitha, Fabio Massacci
2023 J jnl
Technical leverage analysis in the Python ecosystem.
Empir. Softw. Eng.
Ranindya Paramitha, Fabio Massacci
2022 B conf
Lightweight Parsing and Slicing for Bug Identification in C.
ARES
Luca Mecenero, Ranindya Paramitha, Ivan Pashchenko, Fabio Massacci
2022 J jnl
On the acceptance by code reviewers of candidate security patches suggested by Automated Program Repair tools.
CoRR
Aurora Papotti, Ranindya Paramitha, Fabio Massacci
2022 B conf
On the feasibility of detecting injections in malicious npm packages.
ARES
Simone Scalco, Ranindya Paramitha, Duc-Ly Vu, Fabio Massacci

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

In 2025, he co-authored Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja, published at CheckMATE. The paper evaluates the effectiveness of obfuscation techniques and their impact on source-level static analysis and binary-level decompilation.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.