Galia Avidan

12 papers Journal 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Decoding Functional Networks for Visual Categories via GNNs. CoRR Shira Karmi, Galia Avidan, Tammy Riklin Raviv
2024	J	`jnl`	A Possible Neural Basis for Attentional Capture of Faces Revealed by Functional Magnetic Resonance Imaging and Causal Pharmacological Inactivation in Macaques. J. Cogn. Neurosci. Ning Liu, Galia Avidan, Janita N. Turchi, Fadila Hadj-Bouziane, Marlene Behrmann
2021	J	`jnl`	Mapping individual differences across brain network structure to function and behavior with connectome embedding. NeuroImage Gidon Levakov, Joshua Faskowitz, Galia Avidan, Olaf Sporns
2021	J	`jnl`	Neural correlates of future weight loss reveal a possible role for brain-gastric interactions. NeuroImage Gidon Levakov, Alon Kaplan, Anat Yaskolka Meir, Ehud Rinott, Gal Tsaban, Hila Zelicha, Nachshon Meiran, Ilan Shelef, Iris Shai, Galia Avidan
2019	J	`jnl`	Minimal Recognizable Configurations Elicit Category-selective Responses in Higher Order Visual Cortex. J. Cogn. Neurosci. Yael Holzinger, Shimon Ullman, Daniel Harari, Marlene Behrmann, Galia Avidan
2015	J	`jnl`	Impossible expectations: fMRI adaptation in the lateral occipital complex (LOC) is modulated by the statistical regularities of 3D structural information. NeuroImage Erez Freud, Tzvi Ganel, Galia Avidan
2015	J	`jnl`	Sensitivity to Object Impossibility in the Human Visual Cortex: Evidence from Functional Connectivity. J. Cogn. Neurosci. Erez Freud, Gideon Rosenthal, Tzvi Ganel, Galia Avidan
2013	J	`jnl`	Representation of possible and impossible objects in the human visual cortex: Evidence from fMRI adaptation. NeuroImage Erez Freud, Tzvi Ganel, Galia Avidan
2008	J	`jnl`	Reduction in White Matter Connectivity, Revealed by Diffusion Tensor Imaging, May Account for Age-related Changes in Face Perception. J. Cogn. Neurosci. Cibu Thomas, Linda Moya, Galia Avidan, Kate Humphreys, Kwan Jin Jung, Mary A. Peterson, Marlene Behrmann
2005	J	`jnl`	Detailed Exploration of Face-related Processing in Congenital Prosopagnosia: 1. Behavioral Findings. J. Cogn. Neurosci. Marlene Behrmann, Galia Avidan, Jonathan J. Marotta, Rutie Kimchi
2005	J	`jnl`	Detailed Exploration of Face-related Processing in Congenital Prosopagnosia: 2. Functional Neuroimaging Findings. J. Cogn. Neurosci. Galia Avidan, Uri Hasson, Rafael Malach, Marlene Behrmann
2003	J	`jnl`	Spatial vs. object specific attention in high-order visual areas. NeuroImage Galia Avidan, Ifat Levy, Talma Hendler, Ehud Zohary, Rafael Malach

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.