Zeyang Ma

11 papers A* 2A 1Journal 8

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Benchmarking Open-Source Large Language Models for Log Level Suggestion. ICST Yi Wen Heng, Zeyang Ma, Zhenhao Li, Dong Jae Kim, Tse-Hsun Chen
2025	J	`jnl`	Crash Report Enhancement with Large Language Models: An Empirical Study. CoRR S. M. Farah Al Fahim, Md Nakhla Rafi, Zeyang Ma, Dong Jae Kim, Tse-Hsun Chen
2025	A*	`conf`	LibreLog: Accurate and Efficient Unsupervised Log Parsing Using Open-Source Large Language Models. ICSE Zeyang Ma, Dong Jae Kim, Tse-Hsun Peter Chen
2025	J	`jnl`	SPD-YOLO: A Method for Detecting Maize Disease Pests Using Improved YOLOv7. Comput. Mater. Continua Zhunruo Feng, Ruomeng Shi, Yuhan Jiang, Yiming Han, Zeyang Ma, Yuheng Ren
2024	J	`jnl`	Discovery of Timeline and Crowd Reaction of Software Vulnerability Disclosures. CoRR Yi Wen Heng, Zeyang Ma, Haoxiang Zhang, Zhenhao Li, Tse-Hsun Chen
2024	A*	`conf`	LLMParser: An Exploratory Study on Using Large Language Models for Log Parsing. ICSE Zeyang Ma, An Ran Chen, Dong Jae Kim, Tse-Hsun Chen, Shaowei Wang
2024	J	`jnl`	LLMParser: An Exploratory Study on Using Large Language Models for Log Parsing. CoRR Zeyang Ma, An Ran Chen, Dong Jae Kim, Tse-Hsun Chen, Shaowei Wang
2024	J	`jnl`	OpenLogParser: Unsupervised Parsing with Open-Source Large Language Models. CoRR Zeyang Ma, Dong Jae Kim, Tse-Hsun Chen
2024	J	`jnl`	Studying and Benchmarking Large Language Models For Log Level Suggestion. CoRR Yi Wen Heng, Zeyang Ma, Zhenhao Li, Dong Jae Kim, Tse-Hsun Chen
2024	J	`jnl`	VulNet: Towards improving vulnerability management in the Maven ecosystem. Empir. Softw. Eng. Zeyang Ma, Shouvick Mondal, Tse-Hsun (Peter) Chen, Haoxiang Zhang, Ahmed E. Hassan
2021	J	`jnl`	Multi-criteria decision-making framework for large-scale rooftop photovoltaic project site selection based on intuitionistic fuzzy sets. Appl. Soft Comput. Jianwei Gao, Fengjia Guo, Zeyang Ma, Xin Huang

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.