Zena Assaad

11 papers Journal 5Unranked 6

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	A critical assessment of AI governance and policy gaps in Australia. ACIS Ahmed Imran, Zena Assaad, Thaye Choden
2024	—	`conf`	A risk-based trust framework for assuring the humans in human-machine teaming. TAS Zena Assaad
2023	—	`conf`	Ethics and Safety of Human-Machine Teaming. TAS Zena Assaad, Christine Boshuijzen-van Burken
2023	J	`jnl`	Legal reviews of in situ learning in autonomous weapons. Ethics Inf. Technol. Tim McFarland, Zena Assaad
2023	—	`conf`	Ten regulatory principles to scaffold the design, manufacture, and use of trustworthy autonomous systems, illustrated in a maritime context. TAS Rachel Horne, Caroline Law-Walsh, Zena Assaad, Keith F. Joiner
2022	—	`conf`	A proposed risk categorisation model for human-machine teaming. EICS (Workshops) Zena Assaad
2022	J	`jnl`	End-of-Life of Software How is it Defined and Managed? CoRR Zena Assaad, Mina Henein
2022	J	`jnl`	Secure Robotics: A Definition and a Brief Review from a Cybersecurity Control and Implementation Methodology Perspective. CoRR Adam Haskard, Damith C. Herath, Zena Assaad
2022	J	`jnl`	The Guilty (Silicon) Mind: Blameworthiness and Liability in Human-Machine Teaming. CoRR Brendan Walker-Munro, Zena Assaad
2021	J	`jnl`	Trust and Safety. CoRR S. Kate Devitt, Rachel Horne, Zena Assaad, Ellen Broad, Hanna Kurniawati, Beth Cardier, Andrew Scott, Seth Lazar, Maia Gould, Chelle Adamson, Charles Karl, Frank Schrever, Sue Keay, Kieran Tranter, Evan Shellshear, Dan Hunter, Mark Brady, Tom Putland
2020	—	`conf`	Considerations for Assuring Software Systems of Autonomous Aircraft. SSCI Zena Assaad, Noel Derwort, Katherine A. Daniell

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.