Saleh Momeni

12 papers A* 2B 1Journal 9

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Continual Out-of-Distribution Detection with Analytic Neural Collapse. AAAI Saleh Momeni, Changnan Xiao, Bing Liu
2025	J	`jnl`	Achieving Upper Bound Accuracy of Joint Training in Continual Learning. CoRR Saleh Momeni, Bing Liu
2025	J	`jnl`	AnaCP: Toward Upper-Bound Continual Learning via Analytic Contrastive Projection. CoRR Saleh Momeni, Changnan Xiao, Bing Liu
2025	A*	`conf`	Continual Learning Using a Kernel-Based Method Over Foundation Models. AAAI Saleh Momeni, Sahisnu Mazumder, Bing Liu
2025	J	`jnl`	Free-text keystroke authentication using transformers: a comparative study of architectures and loss functions. Soft Comput. Saleh Momeni, Bagher BabaAli
2025	B	`conf`	In-context Continual Learning Assisted by an External Continual Learner. COLING Saleh Momeni, Sahisnu Mazumder, Zixuan Ke, Bing Liu
2024	J	`jnl`	A transformer-based approach for Arabic offline handwritten text recognition. Signal Image Video Process. Saleh Momeni, Bagher BabaAli
2024	J	`jnl`	An unsupervised statistical representation learning method for human activity recognition. Signal Image Video Process. Mohammad Foad Abdi, Bagher BabaAli, Saleh Momeni
2024	J	`jnl`	Continual Learning Using a Kernel-Based Method Over Foundation Models. CoRR Saleh Momeni, Sahisnu Mazumder, Bing Liu
2024	J	`jnl`	In-context Continual Learning Assisted by an External Continual Learner. CoRR Saleh Momeni, Sahisnu Mazumder, Zixuan Ke, Bing Liu
2023	J	`jnl`	A Transformer-based Approach for Arabic Offline Handwritten Text Recognition. CoRR Saleh Momeni, Bagher BabaAli
2023	J	`jnl`	Free-text Keystroke Authentication using Transformers: A Comparative Study of Architectures and Loss Functions. CoRR Saleh Momeni, Bagher BabaAli

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.

In 2025, he co-authored Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja, published at CheckMATE. The paper evaluates the effectiveness of obfuscation techniques and their impact on source-level static analysis and binary-level decompilation.

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.