Panagiotis E. Fouliras

18 papers B 1C 1Misc 1Journal 13Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Applied Federated Model Personalization in the Industrial Domain: A Comparative Study. IEEE Open J. Commun. Soc. Ilias Siniosoglou, Vasileios Argyriou, George F. Fragulis, Panagiotis E. Fouliras, Georgios Th. Papadopoulos, Anastasios Lytos, Panagiotis G. Sarigiannidis
2025	Misc	`conf`	Surrogate-Guided Adversarial Attacks: Enabling White-Box Methods in Black-Box Scenarios. CSR Dimitrios Christos Asimopoulos, Panagiotis I. Radoglou-Grammatikis, Panagiotis E. Fouliras, Konstandinos Panitsidis, Georgios Efstathopoulos, Thomas Lagkas, Vasileios Argyriou, Igor Kotsiuba, Panagiotis G. Sarigiannidis
2024	J	`jnl`	A Methodology for Developing & Assessing CTI Quality Metrics. IEEE Access Georgios Sakellariou, Panagiotis E. Fouliras, Ioannis Mavridis
2024	J	`jnl`	Applied Federated Model Personalisation in the Industrial Domain: A Comparative Study. CoRR Ilias Siniosoglou, Vasileios Argyriou, George F. Fragulis, Panagiotis E. Fouliras, Georgios Th. Papadopoulos, Anastasios Lytos, Panagiotis G. Sarigiannidis
2024	J	`jnl`	CSE-ARS: Deep Learning-Based Late Fusion of Multimodal Information for Chat-Based Social Engineering Attack Recognition. IEEE Access Nikolaos Tsinganos, Panagiotis E. Fouliras, Ioannis Mavridis, Dimitris Gritzalis
2024	J	`jnl`	Exploring the Architectural Composition of Cyber Ranges: A Systematic Review. Future Internet Dionysios Stamatopoulos, Menelaos Katsantonis, Panagiotis E. Fouliras, Ioannis Mavridis
2024	J	`jnl`	tCOFELET: Conceptual Framework for Team-Centric e-Learning and Training. IEEE Access Menelaos N. Katsantonis, Athanassios Manikas, Ioannis Mavridis, Panagiotis E. Fouliras
2021	J	`jnl`	A Unified Deep Learning Anomaly Detection and Classification Approach for Smart Grid Environments. IEEE Trans. Netw. Serv. Manag. Ilias Siniosoglou, Panagiotis I. Radoglou-Grammatikis, Georgios Efstathopoulos, Panagiotis E. Fouliras, Panagiotis G. Sarigiannidis
2021	J	`jnl`	A survey on FANET routing from a cross-layer design perspective. J. Syst. Archit. Georgios Amponis, Thomas Lagkas, Panagiotis G. Sarigiannidis, Vasileios Vitsas, Panagiotis E. Fouliras, Shaohua Wan
2018	J	`jnl`	A statistical approach to virtual server resource management. Concurr. Comput. Pract. Exp. Dimitris Kontoudis, Panagiotis E. Fouliras
2018	B	`conf`	Towards an Automated Recognition System for Chat-based Social Engineering Attacks in Enterprise Environments. ARES Nikolaos Tsinganos, Georgios Sakellariou, Panagiotis E. Fouliras, Ioannis Mavridis
2017	J	`jnl`	Host-Based Virtual Networks Management in Cloud Datacenters. Comput. Informatics Dimitris Kontoudis, Panagiotis E. Fouliras
2015	—	`conf`	Statistics-driven datacenter resources provisioning. Panhellenic Conference on Informatics Dimitris Kontoudis, Panagiotis E. Fouliras, Constantinos Lambrinoudakis
2013	J	`jnl`	A novel reputation-based model for e-commerce. Oper. Res. Panagiotis E. Fouliras
2013	—	`conf`	Modeling and managing virtual network environments. Panhellenic Conference on Informatics Dimitris Kontoudis, Panagiotis E. Fouliras
2009	J	`jnl`	The impact of environmental practices on firms' efficiency: the case of ICT-producing sectors. Oper. Res. Emmanouil Stiakakis, Panagiotis E. Fouliras
2008	J	`jnl`	A Generic Framework for Bluetooth Promoted Multimedia on Demand (BlueProMoD). J. Inf. Technol. Res. Panagiotis E. Fouliras, Nikolaos Samaras
2008	C	`conf`	On RTP filtering for network traffic reduction. MoMM Panagiotis E. Fouliras

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.