Owen Millwood - RankMe

15 papers A 1C 3Journal 8Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Quantifying Memory Cells Vulnerability for DRAM Security. CoRR Zilong Hu, Hongming Fei, Prosanta Gope, Jack Miskelly, Owen Millwood, Biplab Sikdar
2025	C	`conf`	Error-Resilient PUF-Based Authentication on IoT Edge Devices Using Machine Learning. ICCE Nikhil Joshi, Nikolaos Athanasios Anagnostopoulos, Nico Mexis, Shekoufeh Neisarian, Joseph He Chang, Owen Millwood, Tolga Arul, Stefan Katzenbeisser, Elif Bilge Kavun
2024	J	`jnl`	Attacking Delay-Based PUFs With Minimal Adversarial Knowledge. IEEE Trans. Inf. Forensics Secur. Hongming Fei, Owen Millwood, Prosanta Gope, Jack Miskelly, Biplab Sikdar
2024	J	`jnl`	Attacking Delay-based PUFs with Minimal Adversary Model. CoRR Hongming Fei, Owen Millwood, Prosanta Gope, Jack Miskelly, Biplab Sikdar
2024	—	`conf`	Optimal Machine-Learning Attacks on Hybrid PUFs. ESORICS (1) Hongming Fei, Prosanta Gope, Owen Millwood, Biplab Sikdar
2024	—	`conf`	PhenoAuth: A Novel PUF-Phenotype-Based Authentication Protocol for IoT Devices. HOST Hongming Fei, Owen Millwood, Prosanta Gope, Jack Miskelly, Biplab Sikdar
2024	J	`jnl`	PhenoAuth: A Novel PUF-Phenotype-based Authentication Protocol for IoT Devices. CoRR Hongming Fei, Owen Millwood, Prosanta Gope, Jack Miskelly, Biplab Sikdar
2023	A	`conf`	A Generic Obfuscation Framework for Preventing ML-Attacks on Strong-PUFs through Exploitation of DRAM-PUFs. EuroS&P Owen Millwood, Meltem Kurt Pehlivanoglu, Aryan Mohammadi Pasikhani, Jack Miskelly, Prosanta Gope, Elif Bilge Kavun
2023	C	`conf`	A Modular Open-Source Cryptographic Co-Processor for Internet of Things. DSD Dina Hesse, Maël Gay, Ilia Polian, Elif Bilge Kavun, Owen Millwood, Witali Bartsch
2023	—	`conf`	A Privacy-Preserving Protocol Level Approach to Prevent Machine Learning Modelling Attacks on PUFs in the Presence of Semi-Honest Verifiers. HOST Owen Millwood, Hongming Fei, Prosanta Gope, Oguz Narli, Meltem Kurt Pehlivanoglu, Elif Bilge Kavun, Biplab Sikdar
2023	C	`conf`	Design Rationale for Symbiotically Secure Key Management Systems in IoT and Beyond. ICISSP Witali Bartsch, Prosanta Gope, Elif Bilge Kavun, Owen Millwood, Andriy Panchenko, Aryan Mohammadi Pasikhani, Ilia Polian
2023	J	`jnl`	PUF-Phenotype: A Robust and Noise-Resilient Approach to Aid Group-Based Authentication With DRAM-PUFs Using Machine Learning. IEEE Trans. Inf. Forensics Secur. Owen Millwood, Jack Miskelly, Bohao Yang, Prosanta Gope, Elif Bilge Kavun, Chenghua Lin
2022	J	`jnl`	A Scalable Protocol Level Approach to Prevent Machine Learning Attacks on Physically Unclonable Function Based Authentication Mechanisms for Internet of Medical Things. IEEE Trans. Ind. Informatics Prosanta Gope, Owen Millwood, Biplab Sikdar
2022	J	`jnl`	PUF-Phenotype: A Robust and Noise-Resilient Approach to Aid Intra-Group-based Authentication with DRAM-PUFs Using Machine Learning. CoRR Owen Millwood, Jack Miskelly, Bohao Yang, Prosanta Gope, Elif Bilge Kavun, Chenghua Lin
2021	J	`jnl`	A provably secure authentication scheme for RFID-enabled UAV applications. Comput. Commun. Prosanta Gope, Owen Millwood, Neetesh Saxena

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.