Bart Kamphorst

19 papers Journal 13Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Secure addition of floating points. Int. J. Appl. Cryptogr. Thijs Veugen, Robert S. Wezeman, Alessandro Amadori, Sven Bootsma, Bart Kamphorst
2025	J	`jnl`	Secure latent Dirichlet allocation. Frontiers Digit. Health Thijs Veugen, Vincent Dunning, Michiel Marcus, Bart Kamphorst
2024	J	`jnl`	Secure Latent Dirichlet Allocation. IACR Cryptol. ePrint Arch. Thijs Veugen, Vincent Dunning, Michiel Marcus, Bart Kamphorst
2022	J	`jnl`	Accurate training of the Cox proportional hazards model on vertically-partitioned data while preserving privacy. BMC Medical Informatics Decis. Mak. Bart Kamphorst, Thomas Rooijakkers, Thijs Veugen, Matteo Cellamare, Daan Knoors
2022	J	`jnl`	Differentially Private Block Coordinate Descent for Linear Regression on Vertically Partitioned Data. J. Cybersecur. Priv. Jins de Jong, Bart Kamphorst, Shannon Kroes
2022	—	`conf`	Privacy-Preserving Contrastive Explanations with Local Foil Trees. CSCML Thijs Veugen, Bart Kamphorst, Michiel Marcus
2022	J	`jnl`	Privacy-Preserving Contrastive Explanations with Local Foil Trees. Cryptogr. Thijs Veugen, Bart Kamphorst, Michiel Marcus
2022	J	`jnl`	Privacy-Preserving Contrastive Explanations with Local Foil Trees. IACR Cryptol. ePrint Arch. Thijs Veugen, Bart Kamphorst, Michiel Marcus
2022	—	`conf`	The FATE System Iterated: Fair, Transparent and Explainable Decision Making in a Juridical Case. AAAI Spring Symposium: MAKE Maaike H. T. de Boer, Steven Vethman, Roos M. Bakker, Ajaya Adhikari, Michiel Marcus, Joachim de Greeff, Jasper van der Waa, Tjeerd A. J. Schoonderwoerd, Ioannis Tolios, Emma M. van Zoelen, Fieke Hillerström, Bart Kamphorst
2021	J	`jnl`	Oncological Research on Distributed Patient Data: Privacy can be Preserved! ERCIM News Bart Kamphorst, Daan Knoors, Thomas Rooijakkers
2021	—	`conf`	Privacy-Preserving Coupling of Vertically-Partitioned Databases and Subsequent Training with Gradient Descent. CSCML Thijs Veugen, Bart Kamphorst, Natasja van de L'Isle, Marie Beth van Egmond
2021	J	`jnl`	Privacy-preserving dataset combination and Lasso regression for healthcare predictions. BMC Medical Informatics Decis. Mak. Marie Beth van Egmond, Gabriele Spini, Onno van der Galiën, Arne IJpma, Thijs Veugen, Wessel Kraaij, Alex Sangers, Thomas Rooijakkers, Peter Langenkamp, Bart Kamphorst, Natasja van de L'Isle, Milena Kooij-Janic
2018	J	`jnl`	Achievable Performance of Blind Policies in Heavy Traffic. Math. Oper. Res. Nikhil Bansal, Bart Kamphorst, Bert Zwart
2015	J	`jnl`	Achievable Performance of Blind Policies in Heavy Traffic. CoRR Nikhil Bansal, Bart Kamphorst, Bert Zwart
2015	J	`jnl`	Why option generation matters for the design of autonomous e-coaching systems. AI Soc. Bart Kamphorst, Annemarie Kalis
2014	—	`conf`	Ethics of e-coaching: Implications of employing pervasive computing to promote healthy and sustainable lifestyles. PerCom Workshops Joel Anderson, Bart Kamphorst
2013	—	`conf`	A Constraint-Based Approach to Context. CONTEXT Arlette van Wissen, Bart Kamphorst, Rob van Eijk
2012	J	`jnl`	Human-agent teamwork in dynamic environments. Comput. Hum. Behav. Arlette van Wissen, Ya'akov Gal, Bart Kamphorst, Virginia Dignum
2009	—	`conf`	Incorporating BDI Agents into Human-Agent Decision Making Research. ESAW Bart Kamphorst, Arlette van Wissen, Virginia Dignum

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.