Daniel Richard Leff

18 papers Journal 11Unranked 7
YearRankTypeTitle / Venue / Authors
2023 J jnl
IEEE Robotics Autom. Lett.
Zicong Wu, Mikel De Iturrate Reyzabal, S. M. Hadi Sadati, Hongbin Liu, Sébastien Ourselin, Daniel Richard Leff, Robert K. Katzschmann, Kawal S. Rhode, Christos Bergeles
2022 J jnl
Medical Image Anal.
Lena Maier-Hein, Matthias Eisenmann, Duygu Sarikaya, Keno März, Toby Collins, Anand Malpani, Johannes Fallert, Hubertus Feussner, Stamatia Giannarou, Pietro Mascagni, Hirenkumar Nakawala, Adrian Park, Carla M. Pugh, Danail Stoyanov, S. Swaroop Vedula, Kevin Cleary, Gabor Fichtinger, Germain Forestier, Bernard Gibaud, Teodor P. Grantcharov, Makoto Hashizume, Doreen Heckmann-Nötzel, Hannes Götz Kenngott, Ron Kikinis, Lars Mündermann, Nassir Navab, Sinan Onogur, Tobias Roß, Raphael Sznitman, Russell H. Taylor, Minu Dietlinde Tizabi, Martin Wagner, Gregory D. Hager, Thomas Neumuth, Nicolas Padoy, Justin Collins, Ines Gockel, Jan Goedeke, Daniel A. Hashimoto, Luc Joyeux, Kyle Lam, Daniel Richard Leff, Amin Madani, Hani J. Marcus, Ozanan R. Meireles, Alexander Seitel, Dogu Teber, Frank Ückert, Beat P. Müller-Stich, Pierre Jannin, Stefanie Speidel
2021 — conf
TAROS
Carmen Larrea, Pierre Berthet-Rayne, S. M. Hadi Sadati, Daniel Richard Leff, Christos Bergeles, Ioannis Georgilas
2021 J jnl
IEEE Robotics Autom. Lett.
Pierre Berthet-Rayne, S. M. Hadi Sadati, Georgios Petrou, Neel Patel, Stamatia Giannarou, Daniel Richard Leff, Christos Bergeles
2017 J jnl
J. Medical Robotics Res.
Thorsten O. Zander, Kunal Shetty, Romy Lorenz, Daniel Richard Leff, Laurens R. Krol, Ara Darzi, Klaus Gramann, Guang-Zhong Yang
2016 J jnl
Brain Connect.
Javier Andreu-Perez, Daniel Richard Leff, Kunal Shetty, Ara Darzi, Guang-Zhong Yang
2015 J jnl
IEEE Trans. Biomed. Eng.
Javier Andreu-Perez, Daniel Richard Leff, Henry M. D. Ip, Guang-Zhong Yang
2015 J jnl
Cogn. Process.
Giulia Paggetti, Daniel Richard Leff, Felipe Orihuela-Espina, George P. Mylonas, Ara Darzi, Guang-Zhong Yang, Gloria Menegaz
2013 J jnl
NeuroImage
David R. C. James, Daniel Richard Leff, Felipe Orihuela-Espina, Ka-Wai Kwok, George P. Mylonas, Thanos Athanasiou, Ara Darzi, Guang-Zhong Yang
2012 J jnl
Medical Image Anal.
George P. Mylonas, Ka-Wai Kwok, David R. C. James, Daniel Richard Leff, Felipe Orihuela-Espina, Ara Darzi, Guang-Zhong Yang
2011 J jnl
NeuroImage
Daniel Richard Leff, Felipe Orihuela-Espina, Clare E. Elwell, Thanos Athanasiou, David T. Delpy, Ara Darzi, Guang-Zhong Yang
2010 — conf
MICCAI (3)
David R. C. James, Felipe Orihuela-Espina, Daniel Richard Leff, George P. Mylonas, Ka-Wai Kwok, Ara Darzi, Guang-Zhong Yang
2010 — conf
IJCCI (ICFC-ICNC)
Giulia Paggetti, Ying-Chia Lin, Gloria Menegaz, Daniel Richard Leff, Guang-Zhong Yang
2008 J jnl
NeuroImage
Daniel Richard Leff, Clare E. Elwell, Felipe Orihuela-Espina, Louis Atallah, David T. Delpy, Ara Darzi, Guang-Zhong Yang
2008 — conf
MIAR
Julian J. H. Leong, Louis Atallah, George P. Mylonas, Daniel Richard Leff, Roger J. Emery, Ara Darzi, Guang-Zhong Yang
2008 — conf
MICCAI (2)
Daniel Richard Leff, Felipe Orihuela-Espina, Julian J. H. Leong, Ara Darzi, Guang-Zhong Yang
2007 — conf
MICCAI (2)
Daniel Richard Leff, Felipe Orihuela-Espina, Louis Atallah, Ara Darzi, Guang-Zhong Yang
2006 — conf
MIAR
Daniel Richard Leff, Peck Hui Koh, Rajesh Aggarwal, Julian J. H. Leong, Fani Deligianni, Clare E. Elwell, David T. Delpy, Ara Darzi, Guang-Zhong Yang

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.