Yair Moshe - RankMe

13 papers A* 1B 2Misc 2Journal 1Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Framework for Robust Speaker Verification in Highly Noisy Environments Leveraging Both Noisy and Enhanced Audio. EUSIPCO Adam Katav, Yair Moshe, Israel Cohen
2022	—	`conf`	Intelligent Reflecting Surface OFDM Communication with Deep Neural Prior. ICC Tomer Fireaizen, Gal Metzer, Dan Ben-David, Yair Moshe, Israel Cohen, Emil Björnson
2020	Misc	`conf`	Blood Pressure Estimation From PPG Signals Using Convolutional Neural Networks And Siamese Network. ICASSP Oded Schlesinger, Nitai Vigderhouse, Danny Eytan, Yair Moshe
2017	—	`conf`	Detection of alarm sounds in noisy environments. EUSIPCO Dean Carmel, Ariel Yeshurun, Yair Moshe
2016	Misc	`conf`	A highly parallel coding unit size selection for HEVC. ICASSP Liron Anavi, Avi Giterman, Maya Fainshtein, Vladi Solomon, Yair Moshe
2016	—	`conf`	Distance estimation for marine vehicles using a monocular video camera. EUSIPCO Ran Gladstone, Yair Moshe, Avihai Barel, Elior Shenhav
2016	B	`conf`	Reduced-reference image quality assessment based on DCT Subband Similarity. QoMEX Amnon Balanov, Arik Schwartz, Yair Moshe
2015	B	`conf`	Image quality assessment based on DCT subband similarity. ICIP Amnon Balanov, Arik Schwartz, Yair Moshe, Nimrod Peleg
2014	—	`conf`	DSp in heterogeneous multicore embedded systems - A laboratory experiment. EUSIPCO Pavel Lifshits, Alon Eilam, Yair Moshe, Nimrod Peleg
2012	A*	`conf`	Foreground detection using spatiotemporal projection kernels. CVPR Yair Moshe, Hagit Hel-Or, Yacov Hel-Or
2010	—	`conf`	Object reidentification in real world scenarios across multiple non-overlapping cameras. EUSIPCO Guy Berdugo, Omri Soceanu, Yair Moshe, Dmitry Rudoy, Itsik Dvir
2009	J	`jnl`	Video Block Motion Estimation Based on Gray-Code Kernels. IEEE Trans. Image Process. Yair Moshe, Hagit Hel-Or
2008	—	`conf`	Video packet loss concealment detection based on image content. EUSIPCO Dor Shabtay, Nissan Raviv, Yair Moshe

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.