Paraskevas Pegios

20 papers Journal 11Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Need for Speed: Zero-Shot Depth Completion with Single-Step Diffusion. CoRR Jakub Gregorek, Paraskevas Pegios, Nando Metzger, Konrad Schindler, Theodora Kontogianni, Lazaros Nalpantidis
2025	J	`jnl`	Causally Steered Diffusion for Automated Video Counterfactual Generation. CoRR Nikos Spyrou, Athanasios Vlontzos, Paraskevas Pegios, Thomas Melistas, Nefeli Gkouti, Yannis Panagakis, Giorgos Papanastasiou, Sotirios A. Tsaftaris
2025	—	`conf`	Diffusion-Based Iterative Counterfactual Explanations for Fetal Ultrasound Image Quality Assessment. ASMUS@MICCAI Paraskevas Pegios, Manxi Lin, Nina Weng, Morten Bo Søndergaard Svendsen, Zahra Bashir, Siavash Arjomand Bigdeli, Anders Nymark Christensen, Martin Grønnebæk Tolsgaard, Aasa Feragen
2025	—	`conf`	Graph Counterfactual Explainable AI via Latent Space Traversal. NLDL Andreas Abildtrup Hansen, Paraskevas Pegios, Anna Calissano, Aasa Feragen
2025	J	`jnl`	Graph Counterfactual Explainable AI via Latent Space Traversal. CoRR Andreas Abildtrup Hansen, Paraskevas Pegios, Anna Calissano, Aasa Feragen
2025	—	`conf`	The Cervix in Context: Bias Assessment in Preterm Birth Prediction. FAIMI@MICCAI Joris Fournel, Paraskevas Pegios, Emilie Pi Fogtmann Sejer, Martin Grønnebæk Tolsgaard, Aasa Feragen
2025	J	`jnl`	Weight Space Correlation Analysis: Quantifying Feature Utilization in Deep Learning Models. CoRR Chun Kit Wong, Paraskevas Pegios, Nina Weng, Emilie Pi Fogtmann Sejer, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen, Aasa Feragen
2025	—	`conf`	When Pigs Fly: Evaluating Semantic Overconfidence in Deep Neural Network Classifiers. ICIPW Panagiotis Dimitrakopoulos, Paraskevas Pegios, Steven McDonagh, Sotirios A. Tsaftaris
2024	J	`jnl`	Counterfactual Explanations via Riemannian Latent Space Traversal. CoRR Paraskevas Pegios, Aasa Feragen, Andreas Abildtrup Hansen, Georgios Arvanitidis
2024	J	`jnl`	Diffusion-based Iterative Counterfactual Explanations for Fetal Ultrasound Image Quality Assessment. CoRR Paraskevas Pegios, Manxi Lin, Nina Weng, Morten Bo Søndergaard Svendsen, Zahra Bashir, Siavash Arjomand Bigdeli, Anders Nymark Christensen, Martin Grønnebæk Tolsgaard, Aasa Feragen
2024	—	`conf`	Fast Diffusion-Based Counterfactuals for Shortcut Removal and Generation. ECCV (86) Nina Weng, Paraskevas Pegios, Eike Petersen, Aasa Feragen, Siavash Arjomand Bigdeli
2024	—	`conf`	Learning Semantic Image Quality for Fetal Ultrasound from Noisy Ranking Annotation. ISBI Manxi Lin, Jakob Ambsdorf, Emilie Pi Fogtmann Sejer, Zahra Bashir, Chun Kit Wong, Paraskevas Pegios, Alberto Raheli, Morten Bo Søndergaard Svendsen, Mads Nielsen, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen, Aasa Feragen
2024	J	`jnl`	Learning semantic image quality for fetal ultrasound from noisy ranking annotation. CoRR Manxi Lin, Jakob Ambsdorf, Emilie Pi Fogtmann Sejer, Zahra Bashir, Chun Kit Wong, Paraskevas Pegios, Alberto Raheli, Morten Bo Søndergaard Svendsen, Mads Nielsen, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen, Aasa Feragen
2024	—	`conf`	Unsupervised Detection of Fetal Brain Anomalies Using Denoising Diffusion Models. ASMUS@MICCAI Markus Ditlev Sjøgren Olsen, Jakob Ambsdorf, Manxi Lin, Caroline Taksøe-Vester, Morten Bo Søndergaard Svendsen, Anders Nymark Christensen, Mads Nielsen, Martin Grønnebæk Tolsgaard, Aasa Feragen, Paraskevas Pegios
2024	J	`jnl`	Unsupervised Detection of Fetal Brain Anomalies using Denoising Diffusion Models. CoRR Markus Ditlev Sjøgren Olsen, Jakob Ambsdorf, Manxi Lin, Caroline Taksøe-Vester, Morten Bo Søndergaard Svendsen, Anders Nymark Christensen, Mads Nielsen, Martin Grønnebæk Tolsgaard, Aasa Feragen, Paraskevas Pegios
2023	J	`jnl`	Fast Diffusion-Based Counterfactuals for Shortcut Removal and Generation. CoRR Nina Weng, Paraskevas Pegios, Aasa Feragen, Eike Petersen, Siavash Arjomand Bigdeli
2023	—	`conf`	Leveraging Shape and Spatial Information for Spontaneous Preterm Birth Prediction. ASMUS@MICCAI Paraskevas Pegios, Emilie Pi Fogtmann Sejer, Manxi Lin, Zahra Bashir, Morten Bo Søndergaard Svendsen, Mads Nielsen, Eike Petersen, Anders Nymark Christensen, Martin Grønnebæk Tolsgaard, Aasa Feragen
2023	J	`jnl`	Semantic similarity metrics for image registration. Medical Image Anal. Steffen Czolbe, Paraskevas Pegios, Oswin Krause, Aasa Feragen
2020	—	`conf`	Improving Universal Style Transfer using Sub-style Decomposition. SETN Paraskevas Pegios, Nikolaos Passalis, Anastasios Tefas
2018	J	`jnl`	Style Decomposition for Improved Neural Style Transfer. CoRR Paraskevas Pegios, Nikolaos Passalis, Anastasios Tefas

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.