Patrick Holzer

11 papers Misc 1Journal 7Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Spectral invariance and maximality properties of the frequency spectrum of quantum neural networks. Quantum Mach. Intell. Patrick Holzer, Ivica Turkalj
2025	J	`jnl`	Application of ZX-calculus to quantum architecture search. Quantum Mach. Intell. Tom Ewen, Ivica Turkalj, Patrick Holzer, Mark-Oliver Wolf
2024	J	`jnl`	Spectral invariance and maximality properties of the frequency spectrum of quantum neural networks. CoRR Patrick Holzer, Ivica Turkalj
2023	J	`jnl`	Dynamically Weighted Federated k-Means. CoRR Patrick Holzer, Tania Jacob, Shubham Kavane
2022	—	`conf`	A Quantum Computing Approach for the Unit Commitment Problem. OR Pascal Halffmann, Patrick Holzer, Kai Plociennik, Michael Trebing
2022	J	`jnl`	Fed-DART and FACT: A solution for Federated Learning in a production environment. CoRR Nico Weber, Patrick Holzer, Tania Jacob, Enislay Ramentol
2021	J	`jnl`	Federated Learning for Fraud Detection in Accounting and Auditing. ERCIM News Stefanie Grimm, Stefanie Schwaar, Patrick Holzer
2018	—	`conf`	Price Rigidity and Cost Pass-Through. GIL Jahrestagung Thomas Bittmann, Patrick Holzer, Jens-Peter Loy
2017	J	`jnl`	Recovering Short Generators of Principal Fractional Ideals in Cyclotomic Fields of Conductor p IACR Cryptol. ePrint Arch. Patrick Holzer, Thomas Wunderer
2017	Misc	`conf`	Recovering Short Generators of Principal Fractional Ideals in Cyclotomic Fields of Conductor p^\alpha q^\beta p α q β. INDOCRYPT Patrick Holzer, Thomas Wunderer, Johannes Buchmann
2016	—	`conf`	Messung des Vermarktungserfolges. GIL Jahrestagung Jens-Peter Loy, Patrick Holzer

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.