Ramon Ruiz-Dolz

37 papers A* 3A 1B 1C 3Journal 13Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
CoRR
Haorui Yu, Ramon Ruiz-Dolz, Xuehang Wen, Fengrui Zhang, Qiufeng Yi
2026 J jnl
CoRR
Haorui Yu, Ramon Ruiz-Dolz, Diji Yang, Hang He, Fengrui Zhang, Qiufeng Yi
2025 — conf
EMNLP (Findings)
Haorui Yu, Ramon Ruiz-Dolz, Qiufeng Yi
2025 J jnl
CoRR
Haorui Yu, Ramon Ruiz-Dolz, Qiufeng Yi
2025 J jnl
CoRR
Ramon Ruiz-Dolz, John Lawrence
2025 J jnl
Auton. Agents Multi Agent Syst.
Ramon Ruiz-Dolz, Stella Heras, Ana García-Fornes
2025 B conf
COLING
Ramon Ruiz-Dolz, Debela Gemechu, Zlata Kikteva, Chris Reed
2025 — conf
ACL (1)
Ramon Ruiz-Dolz, Zlata Kikteva, John Lawrence
2025 — conf
ACL (Findings)
Debela Gemechu, Ramon Ruiz-Dolz, Henrike Beyer, Chris Reed
2025 — conf
ArgMining
Debela Gemechu, Ramon Ruiz-Dolz, John Lawrence, Chris Reed
2025 — ed.
ArgMining
Elena Chistova, Philipp Cimiano, Shohreh Haddadan, Gabriella Lapesa, Ramon Ruiz-Dolz
2025 — conf
ACL (3)
Debela Gemechu, Ramon Ruiz-Dolz, Kamila Górska, Somaye Moslemnejad, Eimear Maguire, Dimitra Zografistou, Yohan Jo, John Lawrence, Chris Reed
2024 — conf
ArgMining
Debela Gemechu, Ramon Ruiz-Dolz, Chris Reed
2024 C conf
COMMA
Zvonimir Delas, Brian Plüss, Ramon Ruiz-Dolz
2024 C conf
COMMA
Eimear Maguire, Ramon Ruiz-Dolz, Melvin Abraham, John Lawrence, Jacky Visser
2024 C conf
COMMA
Premtim Sahitaj, Ramon Ruiz-Dolz, Ariana Sahitaj, Ata Nizamoglu, Vera Schmitt, Salar Mohtaj, Sebastian Möller
2024 — conf
LREC/COLING
Ramon Ruiz-Dolz, Chr-Jr Chiu, Chung-Chi Chen, Noriko Kando, Hsin-Hsi Chen
2024 J jnl
CoRR
Ramon Ruiz-Dolz, Joaquín Taverner, John Lawrence, Chris Reed
2024 — conf
ArgMining
Ramon Ruiz-Dolz, John Lawrence, Ella Schad, Chris Reed
2024 J jnl
User Model. User Adapt. Interact.
Ramon Ruiz-Dolz, Joaquín Taverner, Stella M. Heras Barberá, Ana García-Fornes
2023 A* conf
EMNLP
Ramon Ruiz-Dolz, Stella Heras, Ana García-Fornes
2023 — —
Ramon Ruiz-Dolz
2023 — conf
ArgMining@EMNLP
Ramon Ruiz-Dolz, John Lawrence
2023 A* conf
EMNLP
Ramon Ruiz-Dolz, Javier Sanchez
2023 J jnl
CoRR
Ramon Ruiz-Dolz, Javier Iranzo-Sánchez
2022 — conf
NTCIR
Ramon Ruiz-Dolz
2022 J jnl
CoRR
Ramon Ruiz-Dolz
2022 — conf
ICAART (3)
Andreas Brännström, Timotheus Kampik, Ramon Ruiz-Dolz, Joaquín Taverner
2022 A conf
UMAP
Ramon Ruiz-Dolz, Joaquín Taverner, Stella Heras, Ana García-Fornes, Vicente J. Botti
2022 J jnl
CoRR
Ramon Ruiz-Dolz, Stella Heras, Ana García-Fornes
2021 J jnl
CoRR
Ramon Ruiz-Dolz, José Alemany, Stella Heras, Ana García-Fornes
2021 J jnl
IEEE Intell. Syst.
Ramon Ruiz-Dolz, José Alemany, Stella Heras Barberá, Ana García-Fornes
2020 A* conf
IJCAI
Ramon Ruiz-Dolz
2020 J jnl
CoRR
Ramon Ruiz-Dolz, Stella Heras, José Alemany, Ana García-Fornes
2019 — conf
XAILA@JURIX
Ramon Ruiz-Dolz, José Alemany, Stella Heras, Ana García-Fornes
2019 — conf
CMNA@PERSUASIVE
Ramon Ruiz-Dolz, Stella Heras, José Alemany, Ana García-Fornes
2019 — conf
IberLEF@SEPLN
Javier Iranzo-Sánchez, Ramon Ruiz-Dolz

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.