Larbi Abdenebaoui

22 papers A* 2B 1C 2Misc 2Journal 4Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Augmenting Imagery with Multimodal Vibrotactile Representations: Touch, Feel, and Hear. CHI Mazen Salous, Matthias Kramer, Wilko Heuten, Charles Hudin, Susanne Boll, Larbi Abdenebaoui
2025	—	`conf`	Analysis of Driver and Pedestrian Gesture Use in the Boston Area. Automated Vehicles May Need More Than Kinematics in Ambiguous Situations. AutomotiveUI (Adjunct Proceedings) Hatice Sahin Ippoliti, Alexander Weibert, Dietrich Manstetten, Bryan Reimer, Pnina Gershon, Bruce L. Mehler, Larbi Abdenebaoui
2025	J	`jnl`	Semi-Automatic BVI Human-Centered Image Conversational Descriptions: Leveraging LLMs and Expert Refinements for Inclusive Visual Accessibility. IEEE Access Mazen Salous, Daniel Lange, Timo von Reeken, Maria K. Wolters, Wilko Heuten, Susanne Boll, Larbi Abdenebaoui
2025	—	`conf`	SweePix! A Machine Learning Driven Gallery Cleaning App Adapted to User Behavior. MobileHCI (Companion) Hatice Sahin Ippoliti, Christian Bender-Saebelkampf, Larbi Abdenebaoui
2025	—	`conf`	Un-trusting the Chat: Designing for Calibrated Trust in Retrieval-Augmented Conversations. CUI Timo von Reeken, Mazen Salous, Larbi Abdenebaoui
2025	—	`conf`	Value-Driven Design for Public Administration: Insights from a Generative Chatbot in a Housing Application Case Study. FAccT Larbi Abdenebaoui, Saja Aljuneidi, Fynn Horstmannshoff, Jochen Meyer, Susanne Boll
2024	—	`conf`	Enhancing Citizen Accessibility to Public Services: A Case Study on AI-Assisted Application for Housing Entitlement Certificates. INFORMATIK Larbi Abdenebaoui, Saja Aljuneidi, Jochen Meyer, Susanne Boll
2024	A*	`conf`	Why the Fine, AI? The Effect of Explanation Level on Citizens' Fairness Perception of AI-based Discretion in Public Administrations. CHI Saja Aljuneidi, Wilko Heuten, Larbi Abdenebaoui, Maria K. Wolters, Susanne Boll
2023	B	`conf`	Explaining Image Aesthetics Assessment: An Interactive Approach. ICMR Sven Schultze, Ani Withöft, Larbi Abdenebaoui, Susanne Boll
2022	—	`conf`	ILMICA - Interactive Learning Model of Image Collage Assessment: A Transfer Learning Approach for Aesthetic Principles. MMM (2) Ani Withöft, Larbi Abdenebaoui, Susanne Boll
2021	J	`jnl`	A Graph-Transformational Approach to Swarm Computation. Entropy Larbi Abdenebaoui, Hans-Jörg Kreowski, Sabine Kuske
2021	C	`conf`	A User-Centered Approach for Recognizing Convenience Images in Personal Photo Collections. CBMI Matthias Maszuhn, Larbi Abdenebaoui, Susanne Boll
2018	Misc	`conf`	Towards Respectful Smart Glasses through Conversation Detection. MuC Franziska Meirose, Sven Schultze, Sebastian Kuehlewind, Marion Koelle, Larbi Abdenebaoui, Susanne Boll
2018	C	`conf`	UNNA: A Unified Neural Network for Aesthetic Assessment. CBMI Larbi Abdenebaoui, Benjamin Meyer, Albert Bruns, Susanne Boll
2016	—	`conf`	Decentralized Routing of Automated Guided Vehicles by Means of Graph-Transformational Swarms. LDIC Larbi Abdenebaoui, Hans-Jörg Kreowski
2016	—	`—`	Graph-Transfromational Swarms: A Graph-Transformational Approach to Swarm Computation. Larbi Abdenebaoui
2016	J	`jnl`	Modeling of decentralized processes in dynamic logistic networks by means of graph-transformational swarms. Logist. Res. Larbi Abdenebaoui, Hans-Jörg Kreowski
2015	—	`conf`	Graph-Transformational Swarms with Stationary Members. DoCEIS Larbi Abdenebaoui, Hans-Jörg Kreowski, Sabine Kuske
2013	—	`conf`	Graph-transformational swarms. NCMA Larbi Abdenebaoui, Hans-Jörg Kreowski, Sabine Kuske
2009	J	`jnl`	Learning to Play the BRIO Labyrinth Game. Künstliche Intell. Jan Hendrik Metzen, Elsa Andrea Kirchner, Larbi Abdenebaoui, Frank Kirchner
2007	Misc	`conf`	A Connectionist Architecture for Learning to Play a Simulated Brio Labyrinth Game. KI Larbi Abdenebaoui, Elsa Andrea Kirchner, Yohannes Kassahun, Frank Kirchner
2005	—	`conf`	Die Softwarearchitektur eines Laufroboters für RoboCup Rescue AIMEE. AMS Robert Borchers, Larbi Abdenebaoui, Malte Römmermann, Dirk Spenneberg

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.