Paolo Prandoni

20 papers A 1Misc 7Journal 6Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	LenslessMic: Audio Encryption and Authentication via Lensless Computational Imaging. CoRR Petr Grinberg, Eric Bezzam, Paolo Prandoni, Martin Vetterli
2022	Misc	`conf`	Increasing Loudness in Audio Signals: A Perceptually Motivated Approach to Preserve Audio Quality. ICASSP Alix Jeannerot, Niels de Koeijer, Pablo Martínez-Nuevo, Martin Bo Møller, Jakob Dyreby, Paolo Prandoni
2021	A	`conf`	Non-Intrusive Speech Quality Assessment with Transfer Learning and Subject-Specific Scaling. Interspeech Natalia Nessler, Milos Cernak, Paolo Prandoni, Pablo Mainar
2019	Misc	`conf`	Teaching Practical DSP with Off-the-shelf Hardware and Free Software. ICASSP Eric Bezzam, Adrien Hoffet, Paolo Prandoni
2016	J	`jnl`	MOOC Adventures in Signal Processing: Bringing DSP to the era of massive open online courses. IEEE Signal Process. Mag. Thomas A. Baran, Richard G. Baraniuk, Alan V. Oppenheim, Paolo Prandoni, Martin Vetterli
2016	J	`jnl`	VITRAIL: Acquisition, Modeling, and Rendering of Stained Glass. IEEE Trans. Image Process. Niranjan Thanikachalam, Loïc Baboulaz, Paolo Prandoni, Stefan Trumpler, Sophie Wolf, Martin Vetterli
2014	—	`conf`	Light field panorama by a plenoptic camera. Computational Imaging Zhou Xue, Loïc Baboulaz, Paolo Prandoni, Martin Vetterli
2014	—	`conf`	Light transport matrix recovery for nearly planar objects. Digital Photography Niranjan Thanikachalam, Loïc Baboulaz, Paolo Prandoni, Martin Vetterli
2013	Misc	`conf`	Teaching signal processing online: A report from the trenches. ICASSP Don H. Johnson, Paolo Prandoni, Pedro C. Pinto, Martin Vetterli
2012	—	`conf`	Sensorcam: an energy-efficient smart wireless camera for environmental monitoring. IPSN Zichong Chen, Paolo Prandoni, Guillermo Barrenetxea, Martin Vetterli
2009	J	`jnl`	From Lagrange to Shannon... and back: another look at sampling [DSP Education]. IEEE Signal Process. Mag. Paolo Prandoni, Martin Vetterli
2008	—	`book`	Signal Processing for Communications. Paolo Prandoni, Martin Vetterli
2000	J	`jnl`	R/D optimal linear prediction. IEEE Trans. Speech Audio Process. Paolo Prandoni, Martin Vetterli
1999	Misc	`conf`	Optimal bit allocation with side information. ICASSP Paolo Prandoni, Martin Vetterli
1999	—	`conf`	R/D optimal data hiding. Security and Watermarking of Multimedia Contents Paolo Prandoni, Martin Vetterli
1998	J	`jnl`	An FIR cascade structure for adaptive linear prediction. IEEE Trans. Signal Process. Paolo Prandoni, Martin Vetterli
1998	Misc	`conf`	Interactive DSP education using Java. ICASSP Yves Cheneval, Laurent Balmelli, Paolo Prandoni, Jelena Kovacevic, Martin Vetterli
1998	Misc	`conf`	Perceptually hidden data transmission over audio signals. ICASSP Paolo Prandoni, Martin Vetterli
1997	Misc	`conf`	Optimal time segmentation for signal modeling and compression. ICASSP Paolo Prandoni, Michael M. Goodwin, Martin Vetterli
1994	—	`conf`	Timbre Characterization with Mel-Cepstrum and Neural Nets. ICMC Piero Cosi, Giovanni De Poli, Paolo Prandoni

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.