George A. Alvarez

16 papers A* 2B 1Journal 10Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Bi-Orthogonal Factor Decomposition for Vision Transformers. CoRR Fenil R. Doshi, Thomas Fel, Talia Konkle, George A. Alvarez
2026	J	`jnl`	FOVI: A biologically-inspired foveated interface for deep vision models. CoRR Nicholas M. Blauch, George A. Alvarez, Talia Konkle
2025	J	`jnl`	A feedforward mechanism for human-like contour integration. PLoS Comput. Biol. Fenil R. Doshi, Talia Konkle, George A. Alvarez
2025	—	`conf`	Decision-margin consistency: a principled metric for human and machine performance alignment. UniReps George A. Alvarez, Talia Konkle
2025	J	`jnl`	Visual Anagrams Reveal Hidden Differences in Holistic Shape Processing Across Vision Models. CoRR Fenil R. Doshi, Thomas Fel, Talia Konkle, George A. Alvarez
2024	J	`jnl`	Feature Accentuation: Revealing 'What' Features Respond to in Natural Images. CoRR Chris J. Hamblin, Thomas Fel, Srijani Saha, Talia Konkle, George A. Alvarez
2024	A*	`conf`	Manipulating dropout reveals an optimal balance of efficiency and robustness in biological and machine visual systems. ICLR Jacob S. Prince, Gabriel Fajardo, George A. Alvarez, Talia Konkle
2024	J	`jnl`	Understanding Inhibition Through Maximally Tense Images. CoRR Christopher J. Hamblin, Srijani Saha, Talia Konkle, George A. Alvarez
2023	A*	`conf`	Cognitive Steering in Deep Neural Networks via Long-Range Modulatory Feedback Connections. NeurIPS Talia Konkle, George A. Alvarez
2022	J	`jnl`	Pruning for Interpretable, Feature-Preserving Circuits in CNNs. CoRR Chris J. Hamblin, Talia Konkle, George A. Alvarez
2019	J	`jnl`	Tuning Attention to Object Categories: Spatially Global Effects of Attention to Faces in Visual Processing. J. Cogn. Neurosci. Viola S. Störmer, Michael A. Cohen, George A. Alvarez
2015	J	`jnl`	Visual Awareness Is Limited by the Representational Architecture of the Visual System. J. Cogn. Neurosci. Michael A. Cohen, Ken Nakayama, Talia Konkle, Mirta Stantic, George A. Alvarez
2014	B	`conf`	Multi-modal Symbolic Representations of Number: Everything You Ever Wanted to Know About Mental Abacus, but Were Afraid to Ask. CogSci David Barner, George A. Alvarez, Mahesh Srinivasan, Neon Brooks, Susan Goldin-Meadow, Jessica Sullivan, Katie Wagner, Michael C. Frank
2011	—	`conf`	Background motion silences awareness of foreground change. SIGGRAPH Posters Jordan W. Suchow, George A. Alvarez
2009	—	`conf`	Explaining human multiple object tracking as resource-constrained approximate inference in a dynamic probabilistic model. NIPS Ed Vul, Michael C. Frank, George A. Alvarez, Joshua B. Tenenbaum
2009	J	`jnl`	The Role of the Parietal Lobe in Visual Extinction Studied with Transcranial Magnetic Stimulation. J. Cogn. Neurosci. Lorella Battelli, George A. Alvarez, Thomas A. Carlson, Alvaro Pascual-Leone

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.

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.