Bartosz Bogacz

20 papers A 4B 4Journal 2Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Fault Localization via Fine-Tuning Large Language Models with Mutation Generated Stack Traces. ICST Neetha Jambigi, Bartosz Bogacz, Moritz Mueller, Thomas Bach, Michael Felderer
2025	J	`jnl`	Fault Localization via Fine-tuning Large Language Models with Mutation Generated Stack Traces. CoRR Neetha Jambigi, Bartosz Bogacz, Moritz Mueller, Thomas Bach, Michael Felderer
2022	J	`jnl`	Digital Assyriology - Advances in Visual Cuneiform Analysis. ACM Journal on Computing and Cultural Heritage Bartosz Bogacz, Hubert Mara
2020	B	`conf`	Period Classification of 3D Cuneiform Tablets with Geometric Neural Networks. ICFHR Bartosz Bogacz, Hubert Mara
2020	—	`conf`	Visualizing and Contexualizing Outliers in Aegean Seal Collections. COLCO Bartosz Bogacz, Sarah Finlayson, Diamantis Panagiotopoulos, Hubert Mara
2019	A	`conf`	Breaking the Code on Broken Tablets: The Learning Challenge for Annotated Cuneiform Script in Normalized 2D and 3D Datasets. ICDAR Hubert Mara, Bartosz Bogacz
2019	—	`conf`	Jadescheibe oder Kreis - Reflexion über manuelle und automatisierte Erkennung von Schriftzeichen der vorspanischen Mayakultur. DHd Christian Prager, Hubert Mara, Bartosz Bogacz, Felix Feldmann
2019	—	`conf`	Quantifying Deformation in Aegean Sealing Practices. VISIGRAPP (Revised Selected Papers) Bartosz Bogacz, Sarah Finlayson, Diamantis Panagiotopoulos, Hubert Mara
2019	—	`conf`	Recovering and Visualizing Deformation in 3D Aegean Sealings. VISIGRAPP (4: VISAPP) Bartosz Bogacz, Nikolas Papadimitriou, Diamantis Panagiotopoulos, Hubert Mara
2018	—	`—`	Analyzing handwritten and transcribed symbols in disparate corpora. Bartosz Bogacz
2018	B	`conf`	Feature Descriptors for Spotting 3D Characters on Triangular Meshes. ICFHR Bartosz Bogacz, Hubert Mara
2018	B	`conf`	From Extraction to Spotting for Cuneiform Script Analysis. DAS Bartosz Bogacz, Hubert Mara
2018	—	`conf`	Visualizing Networks of Maya Glyphs by Clustering Subglyphs. GCH Bartosz Bogacz, Felix Feldmann, Christian Prager, Hubert Mara
2017	A	`conf`	Automating Transliteration of Cuneiform from Parallel Lines with Sparse Data. ICDAR Bartosz Bogacz, Maximilian Klingmann, Hubert Mara
2017	—	`conf`	Histogram of Oriented Gradients for Maya Glyph Retrieval. GCH Felix Feldmann, Bartosz Bogacz, Christian Prager, Hubert Mara
2016	—	`conf`	Pattern Mining in Keilschriftzeichnungen. DHd Bartosz Bogacz, Hubert Mara
2016	B	`conf`	Segmentation Free Spotting of Cuneiform Using Part Structured Models. ICFHR Bartosz Bogacz, Nicholas R. Howe, Hubert Mara
2015	A	`conf`	Character retrieval of vectorized cuneiform script. ICDAR Bartosz Bogacz, Michael Gertz, Hubert Mara
2015	—	`conf`	Geometrische Verfahren als Brücke zwischen Text und Objekt. DHd Hubert Mara, Bartosz Bogacz
2015	—	`conf`	Homogenization of 2D & 3D Document Formats for Cuneiform Script Analysis. HIP@ICDAR Bartosz Bogacz, Judith Massa, Hubert Mara

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.