Tantan Liu

12 papers A* 3A 1C 1Journal 1Unranked 6

Year	Rank	Type	Title / Venue / Authors
2012	A	`conf`	Stratification Based Hierarchical Clustering Over a Deep Web Data Source. SDM Tantan Liu, Gagan Agrawal
2012	A*	`conf`	Stratified k-means clustering over a deep web data source. KDD Tantan Liu, Gagan Agrawal
2012	J	`jnl`	Stratified sampling for data mining on the deep web. Frontiers Comput. Sci. Tantan Liu, Fan Wang, Gagan Agrawal
2011	A*	`conf`	Active learning based frequent itemset mining over the deep web. ICDE Tantan Liu, Gagan Agrawal
2010	—	`conf`	Differential Analysis on Deep Web Data Sources. ICDM Workshops Tantan Liu, Fan Wang, Jiedan Zhu, Gagan Agrawal
2010	C	`conf`	Instance Discovery and Schema Matching with Applications to Biological Deep Web Data Integration. BIBE Tantan Liu, Fan Wang, Gagan Agrawal
2010	—	`conf`	Instance Discovery and Schema Matching with Applications to Biological Deep Web Data Integration. DILS Tantan Liu, Fan Wang, Gagan Agrawal
2010	—	`conf`	Parallelizing an Information Theoretic Co-clustering Algorithm Using a Cloud Middleware. ICDM Workshops Venkatram Ramanathan, Wenjing Ma, Vignesh T. Ravi, Tantan Liu, Gagan Agrawal
2010	A*	`conf`	Stratified Sampling for Data Mining on the Deep Web. ICDM Tantan Liu, Fan Wang, Gagan Agrawal
2009	—	`conf`	Exploiting Parallelism to Accelerate Keyword Search on Deep-Web Sources. DILS Tantan Liu, Fan Wang, Gagan Agrawal
2007	—	`conf`	The Design of Backend Classifiers in PPRLM System for Language Identification. ICNC (1) Hongbin Suo, Ming Li, Tantan Liu, Ping Lu, Yonghong Yan
2006	—	`conf`	Speaker Diarization System Based on GMM and BIC. ISCSLP Tantan Liu, Xiaoxing Liu, Yonghong Yan

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.