Daniel Scalena

13 papers Journal 6Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Steering Large Language Models for Machine Translation Personalization. EACL (Volume 1: Long Papers) Daniel Scalena, Gabriele Sarti, Arianna Bisazza, Elisabetta Fersini, Malvina Nissim
2025	—	`conf`	BeaverTails-IT: Towards a Safety Benchmark for Evaluating Italian Large Language Models. CLiC-it Giuseppe Magazzù, Alberto Sormani, Giulia Rizzi, Francesca Pulerà, Daniel Scalena, Stefano Cariddi, Edoardo Michielon, Marco Pasqualini, Claudio Stamile, Elisabetta Fersini
2025	J	`jnl`	Challenging the Abilities of Large Language Models in Italian: a Community Initiative. CoRR Malvina Nissim, Danilo Croce, Viviana Patti, Pierpaolo Basile, Giuseppe Attanasio, Elio Musacchio, Matteo Rinaldi, Federico Borazio, Maria Francis, Jacopo Gili, Daniel Scalena, Begoña Altuna, Ekhi Azurmendi, Valerio Basile, Luisa Bentivogli, Arianna Bisazza, Marianna Bolognesi, Dominique Brunato, Tommaso Caselli, Silvia Casola, Maria Cassese, Mauro Cettolo, Claudia Collacciani, Leonardo De Cosmo, Maria Pia di Buono, Andrea Esuli, Julen Etxaniz, Chiara Ferrando, Alessia Fidelangeli, Simona Frenda, Achille Fusco, Marco Gaido, Andrea Galassi, Federico Galli, Luca Giordano, Mattia Goffetti, Itziar Gonzalez-Dios, Lorenzo Gregori, Giulia Grundler, Sandro Iannaccone, Chunyang Jiang, Moreno La Quatra, Francesca Lagioia, Soda Marem Lo, Marco Madeddu, Bernardo Magnini, Raffaele Manna, Fabio Mercorio, Paola Merlo, Arianna Muti, Vivi Nastase, Matteo Negri, Dario Onorati, Elena Palmieri, Sara Papi, Lucia C. Passaro, Giulia Pensa, Andrea Piergentili, Daniele Potertì, Giovanni Puccetti, Federico Ranaldi, Leonardo Ranaldi, Andrea Amelio Ravelli, Martina Rosola, Elena Sofia Ruzzetti, Giuseppe Samo, Andrea Santilli, Piera Santin, Gabriele Sarti, Giovanni Sartor, Beatrice Savoldi, Antonio Serino, Andrea Seveso, Lucia Siciliani, Paolo Torroni, Rossella Varvara, Andrea Zaninello, Asya Zanollo, Fabio Massimo Zanzotto, Kamyar Zeinalipour, Andrea Zugarini
2025	J	`jnl`	EAGER: Entropy-Aware GEneRation for Adaptive Inference-Time Scaling. CoRR Daniel Scalena, Leonidas Zotos, Elisabetta Fersini, Malvina Nissim, Ahmet Üstün
2025	—	`conf`	Gender Violence in Numbers: Prompting Italian LLMs to Characterize Crimes against Women. CLiC-it Giulia Rizzi, Daniel Scalena, Elisabetta Fersini
2025	J	`jnl`	Steering Large Language Models for Machine Translation Personalization. CoRR Daniel Scalena, Gabriele Sarti, Arianna Bisazza, Elisabetta Fersini, Malvina Nissim
2025	—	`conf`	Uncovering Unsafety Traits in Italian Language Models. CLiC-it Giulia Rizzi, Giuseppe Magazzù, Alberto Sormani, Francesca Pulerà, Daniel Scalena, Elisabetta Fersini
2024	—	`conf`	A Gentle Push Funziona Benissimo: Making Instructed Models in Italian via Contrastive Activation Steering. CLiC-it Daniel Scalena, Elisabetta Fersini, Malvina Nissim
2024	J	`jnl`	A gentle push funziona benissimo: making instructed models in Italian via contrastive activation steering. CoRR Daniel Scalena, Elisabetta Fersini, Malvina Nissim
2024	—	`conf`	CALAMITA: Challenge the Abilities of LAnguage Models in ITAlian. CLiC-it Giuseppe Attanasio, Pierpaolo Basile, Federico Borazio, Danilo Croce, Maria Francis, Jacopo Gili, Elio Musacchio, Malvina Nissim, Viviana Patti, Matteo Rinaldi, Daniel Scalena
2024	J	`jnl`	Multi-property Steering of Large Language Models with Dynamic Activation Composition. CoRR Daniel Scalena, Gabriele Sarti, Malvina Nissim
2023	J	`jnl`	Let the Models Respond: Interpreting Language Model Detoxification Through the Lens of Prompt Dependence. CoRR Daniel Scalena, Gabriele Sarti, Malvina Nissim, Elisabetta Fersini
2023	—	`conf`	MIND at SemEval-2023 Task 11: From Uncertain Predictions to Subjective Disagreement. SemEval@ACL Giulia Rizzi, Alessandro Astorino, Daniel Scalena, Paolo Rosso, Elisabetta Fersini

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.

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.