Geoff Hulten

13 papers A* 5A 1B 1Unranked 5

Year	Rank	Type	Title / Venue / Authors
2016	—	`ch.`	Mining Decision Trees from Streams. Data Stream Management Geoff Hulten, Pedro M. Domingos
2013	B	`conf`	Measuring the engagement level of TV viewers. FG Javier Hernandez, Zicheng Liu, Geoff Hulten, Dave DeBarr, Kyle Krum, Zhengyou Zhang
2008	A*	`conf`	Spamming botnets: signatures and characteristics. SIGCOMM Yinglian Xie, Fang Yu, Kannan Achan, Rina Panigrahy, Geoff Hulten, Ivan Osipkov
2006	—	`conf`	Learning at Low False Positive Rates. CEAS Wen-tau Yih, Joshua Goodman, Geoff Hulten
2004	—	`conf`	Filtering spam e-mail on a global scale. WWW (Alternate Track Papers & Posters) Geoff Hulten, Joshua T. Goodman, Robert Rounthwaite
2004	—	`conf`	Trends in Spam Products and Methods. CEAS Geoff Hulten, Anthony Penta, Gopalakrishnan Seshadrinathan, Manav Mishra
2003	A	`conf`	Learning Bayesian Networks From Dependency Networks: A Preliminary Study. AISTATS Geoff Hulten, David Maxwell Chickering, David Heckerman
2002	A*	`conf`	Mining complex models from arbitrarily large databases in constant time. KDD Geoff Hulten, Pedro M. Domingos
2001	A*	`conf`	A General Method for Scaling Up Machine Learning Algorithms and its Application to Clustering. ICML Pedro M. Domingos, Geoff Hulten
2001	—	`conf`	Catching up with the Data: Research Issues in Mining Data Streams. DMKD Pedro M. Domingos, Geoff Hulten
2001	—	`conf`	Learning from Infinite Data in Finite Time. NIPS Pedro M. Domingos, Geoff Hulten
2001	A*	`conf`	Mining time-changing data streams. KDD Geoff Hulten, Laurie Spencer, Pedro M. Domingos
2000	A*	`conf`	Mining high-speed data streams. KDD Pedro M. Domingos, Geoff Hulten

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.