Gabriele Picco

18 papers A* 2Journal 9Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Dynamic Fraud Proof. CoRR Gabriele Picco, Andrea Fortugno
2024	—	`conf`	Description Boosting for Zero-Shot Entity and Relation Classification. ACL (Findings) Gabriele Picco, Leopold Fuchs, Marcos Martínez Galindo, Alberto Purpura, Vanessa López, Hoang Thanh Lam
2024	J	`jnl`	Description Boosting for Zero-Shot Entity and Relation Classification. CoRR Gabriele Picco, Leopold Fuchs, Marcos Martínez Galindo, Alberto Purpura, Vanessa López, Hoang Thanh Lam
2024	A*	`conf`	Knowledge Enhanced Representation Learning for Drug Discovery. AAAI Thanh Lam Hoang, Marco Luca Sbodio, Marcos Martínez Galindo, Mykhaylo Zayats, Raúl Fernández-Díaz, Victor Valls, Gabriele Picco, Cesar Berrospi, Vanessa López
2023	J	`jnl`	Ephemeral Rollups are All you Need. CoRR Gabriele Picco, Andrea Fortugno
2023	—	`conf`	Matching Pairs: Attributing Fine-Tuned Models to their Pre-Trained Large Language Models. ACL (1) Myles Foley, Ambrish Rawat, Taesung Lee, Yufang Hou, Gabriele Picco, Giulio Zizzo
2023	J	`jnl`	Matching Pairs: Attributing Fine-Tuned Models to their Pre-Trained Large Language Models. CoRR Myles Foley, Ambrish Rawat, Taesung Lee, Yufang Hou, Gabriele Picco, Giulio Zizzo
2023	J	`jnl`	Otter-Knowledge: benchmarks of multimodal knowledge graph representation learning from different sources for drug discovery. CoRR Hoang Thanh Lam, Marco Luca Sbodio, Marcos Martínez Galindo, Mykhaylo Zayats, Raúl Fernández-Díaz, Víctor Valls, Gabriele Picco, Cesar Berrospi Ramis, Vanessa López
2023	—	`conf`	Zshot: An Open-source Framework for Zero-Shot Named Entity Recognition and Relation Extraction. ACL (demo) Gabriele Picco, Marcos Martínez Galindo, Alberto Purpura, Leopold Fuchs, Vanessa López, Thanh Lam Hoang
2023	J	`jnl`	Zshot: An Open-source Framework for Zero-Shot Named Entity Recognition and Relation Extraction. CoRR Gabriele Picco, Marcos Martínez Galindo, Alberto Purpura, Leopold Fuchs, Vanessa López, Hoang Thanh Lam
2022	J	`jnl`	Envisioning a Human-AI collaborative system to transform policies into decision models. CoRR Vanessa López, Gabriele Picco, Inge Vejsbjerg, Thanh Lam Hoang, Yufang Hou, Marco Luca Sbodio, John Segrave-Daly, Denisa Moga, Sean Swords, Miao Wei, Eoin Carrol
2021	A*	`conf`	Ensembling Graph Predictions for AMR Parsing. NeurIPS Thanh Lam Hoang, Gabriele Picco, Yufang Hou, Young-Suk Lee, Lam M. Nguyen, Dzung T. Phan, Vanessa López, Ramón Fernandez Astudillo
2021	J	`jnl`	Ensembling Graph Predictions for AMR Parsing. CoRR Hoang Thanh Lam, Gabriele Picco, Yufang Hou, Young-Suk Lee, Lam M. Nguyen, Dzung T. Phan, Vanessa López, Ramón Fernandez Astudillo
2021	—	`conf`	Learning Insurance Benefit Rules from Policy Texts with Small Labeled Data. MedInfo Gabriele Picco, Hoang Thanh Lam, Vanessa López, John Segrave-Daly, Miao Wei, Marco Luca Sbodio, Inge Vejsbjerg, Seamus Brady, Morten Kristiansen
2021	—	`conf`	Neural Unification for Logic Reasoning over Natural Language. EMNLP (Findings) Gabriele Picco, Thanh Lam Hoang, Marco Luca Sbodio, Vanessa López
2021	J	`jnl`	Neural Unification for Logic Reasoning over Natural Language. CoRR Gabriele Picco, Hoang Thanh Lam, Marco Luca Sbodio, Vanessa López Garcia
2021	—	`conf`	Towards Protecting Vital Healthcare Programs by Extracting Actionable Knowledge from Policy. ACL/IJCNLP (Findings) Vanessa López, Nagesh Yadav, Gabriele Picco, Inge Vejsbjerg, Eoin Carrol, Seamus Brady, Marco Luca Sbodio, Hoang Thanh Lam, Miao Wei, John Segrave-Daly
2020	—	`conf`	Ontology-Guided Policy Information Extraction for Healthcare Fraud Detection. MIE Theodora S. Brisimi, Vanessa López, Valentina Rho, Marco Luca Sbodio, Gabriele Picco, Morten Kristiansen, John Segrave-Daly, Conor Cullen

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.