Dainis Boumber

16 papers A 1B 2Misc 2Journal 5Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Domain-independent deception: a new taxonomy and linguistic analysis. Frontiers Big Data Rakesh M. Verma, Nachum Dershowitz, Victor Zeng, Dainis Boumber, Xuting Liu
2024	J	`jnl`	A Roadmap for Multilingual, Multimodal Domain Independent Deception Detection. CoRR Dainis Boumber, Rakesh M. Verma, Fatima Zahra Qachfar
2024	A	`conf`	Blue Sky: Multilingual, Multimodal Domain Independent Deception Detection. SDM Dainis Boumber, Rakesh M. Verma, Fatima Zahra Qachfar
2024	—	`conf`	Domain-Agnostic Adapter Architecture for Deception Detection: Extensive Evaluations with the DIFrauD Benchmark. LREC/COLING Dainis Boumber, Fatima Zahra Qachfar, Rakesh M. Verma
2024	J	`jnl`	Domain-Independent Deception: A New Taxonomy and Linguistic Analysis. CoRR Rakesh M. Verma, Nachum Dershowitz, Victor Zeng, Dainis Boumber, Xuting Liu
2024	—	`conf`	LLMs for Explainable Few-shot Deception Detection. IWSPA@CODASPY Dainis Boumber, Bryan E. Tuck, Rakesh M. Verma, Fatima Zahra Qachfar
2023	—	`conf`	DetectiveRedasers at ArAIEval Shared Task: Leveraging Transformer Ensembles for Arabic Deception Detection. ArabicNLP Bryan Tuck, Fatima Zahra Qachfar, Dainis Boumber, Rakesh M. Verma
2021	—	`conf`	Improving Authorship Verification using Linguistic Divergence. ROMCIR@ECIR Yifan Zhang, Dainis Boumber, Marjan Hosseinia, Fan Yang, Arjun Mukherjee
2021	J	`jnl`	Improving Authorship Verification using Linguistic Divergence. CoRR Yifan Zhang, Dainis Boumber, Marjan Hosseinia, Fan Yang, Arjun Mukherjee
2021	Misc	`conf`	On the Usefulness of Personality Traits in Opinion-oriented Tasks. RANLP Marjan Hosseinia, Eduard C. Dragut, Dainis Boumber, Arjun Mukherjee
2018	J	`jnl`	A General Approach to Domain Adaptation with Applications in Astronomy. CoRR Ricardo Vilalta, Kinjal Dhar Gupta, Dainis Boumber, Mikhail M. Meskhi
2018	B	`conf`	Experiments with Convolutional Neural Networks for Multi-Label Authorship Attribution. LREC Dainis Boumber, Yifan Zhang, Arjun Mukherjee
2014	Misc	`conf`	Fault resilient physical neural networks on a single chip. CASES Weidong Shi, Yuanfeng Wen, Ziyi Liu, Xi Zhao, Dainis Boumber, Ricardo Vilalta, Lei Xu
2014	—	`conf`	USR: Enabling identity awareness and usable app access control during hand-free mobile interactions. MobiCASE Tao Feng, Zhimin Gao, Dainis Boumber, Tzu-Hua Liu, Nicholas DeSalvo, Xi Zhao, Weidong Shi
2012	B	`conf`	Acceleration of bulk memory operations in a heterogeneous multicore architecture. PACT Jong-Hyuk Lee, Ziyi Liu, Xiaonan Tian, Dong Hyuk Woo, Weidong Shi, Dainis Boumber, Yonghong Yan, Kyeong-An Kwon
2012	—	`conf`	Continuous Remote Mobile Identity Management Using Biometric Integrated Touch-Display. MICRO Workshops Tao Feng, Ziyi Liu, Bogdan Carbunar, Dainis Boumber, Weidong Shi

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.