Lan Tao

12 papers Journal 4Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Explainable Token-level Noise Filtering for LLM Fine-tuning Datasets. CoRR Yuchen Yang, Wenze Lin, Enhao Huang, Zhixuan Chu, Hongbin Zhou, Lan Tao, Yiming Li, Zhan Qin, Kui Ren
2026	J	`jnl`	JANUS: A Lightweight Framework for Jailbreaking Text-to-Image Models via Distribution Optimization. CoRR Haolun Zheng, Yu He, Tailun Chen, Shuo Shao, Zhixuan Chu, Hongbin Zhou, Lan Tao, Zhan Qin, Kui Ren
2024	J	`jnl`	Discriminative Estimation of Total Variation Distance: A Fidelity Auditor for Generative Data. CoRR Lan Tao, Shirong Xu, Chi-hua Wang, Namjoon Suh, Guang Cheng
2020	—	`conf`	Computing Sentence Embedding by Merging Syntactic Parsing Tree and Word Embedding. ICAIS (1) Yong Wang, Maosheng Zhong, Lan Tao, Shuixiu Wu
2020	J	`jnl`	基于局部有限搜索的无向图近似最大团快速求解算法 (Quick Algorithm to Find an Approximate Maximum Clique in Undirected Graph by Using Local-limited Search Strategy). 计算机科学 Maosheng Zhong, Chao Jiang, Lan Tao, Xiong He, Yuansheng Luo
2012	—	`conf`	A hybrid evolutionary algorithm for promoter recognition. BMEI Lan Tao, Ning Fan, Zexuan Zhu
2012	—	`conf`	Blackness: Preference and Perception (Value and Chroma). CGIV Lan Tao, Stephen Westland, Vien Cheung
2011	—	`conf`	Blackness: Preference and Perception. CIC Lan Tao, Stephen Westland, Vien Cheung
2011	—	`conf`	Improving Text Classification with Concept Index Terms and Expansion Terms. ISNN (3) Xianghua Fu, LianDong Liu, TianXue Gong, Lan Tao
2009	—	`conf`	Prediction of Selenoproteins Based on Motif Recognition. BMEI Lan Tao, Geng Liu, Xiaoli Wang, Lei Zhang
2008	—	`conf`	A Note on the Fast BRAIN Learning Algorithm. BMEI (1) Shuo Xu, Lan Tao, Xin An, Lin Li
2007	—	`conf`	An Improved Fast Brain Learning Algorithm. CCTA Shuo Xu, Xin An, Lan Tao

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.