Sabyasachi Chatterjee

18 papers A* 1B 2Journal 13Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Risk Bounds For Distributional Regression. CoRR Carlos Misael Madrid Padilla, Oscar Hernan Madrid Padilla, Sabyasachi Chatterjee
2024	J	`jnl`	LASER: A new method for locally adaptive nonparametric regression. CoRR Sabyasachi Chatterjee, Subhajit Goswami, Soumendu Sundar Mukherjee
2024	J	`jnl`	Minmax Trend Filtering: A Locally Adaptive Nonparametric Regression Method via Pointwise Min Max Optimization. CoRR Sabyasachi Chatterjee
2023	B	`conf`	Spatially Adaptive Online Prediction of Piecewise Regular Functions. ALT Sabyasachi Chatterjee, Subhajit Goswami
2022	J	`jnl`	Spatially Adaptive Online Prediction of Piecewise Regular Functions. CoRR Sabyasachi Chatterjee, Subhajit Goswami
2021	J	`jnl`	Enhancing localization accuracy of collaborative cognitive radio users by internal noise mitigation. Telecommun. Syst. Sabyasachi Chatterjee, Prabir Banerjee, Mita Nasipuri
2021	J	`jnl`	New Risk Bounds for 2D Total Variation Denoising. IEEE Trans. Inf. Theory Sabyasachi Chatterjee, Subhajit Goswami
2020	J	`jnl`	Plasticity without phenomenology: a first step. CoRR Sabyasachi Chatterjee, Giacomo Po, Xiaohan Zhang, Amit Acharya, Nasr Ghoniem
2019	J	`jnl`	Estimation in Tournaments and Graphs Under Monotonicity Constraints. IEEE Trans. Inf. Theory Sabyasachi Chatterjee, Sumit Mukherjee
2018	J	`jnl`	A new protocol for concurrently allocating licensed spectrum to underlay cognitive users. Digit. Commun. Networks Sabyasachi Chatterjee, Prabir Banerjee, Mita Nasipuri
2018	J	`jnl`	Computing singularly perturbed differential equations. J. Comput. Phys. Sabyasachi Chatterjee, Amit Acharya, Zvi Artstein
2018	J	`jnl`	Denoising Flows on Trees. IEEE Trans. Inf. Theory Sabyasachi Chatterjee, John D. Lafferty
2018	A*	`conf`	Prediction Rule Reshaping. ICML Matt Bonakdarpour, Sabyasachi Chatterjee, Rina Foygel Barber, John Lafferty
2018	J	`jnl`	Prediction Rule Reshaping. CoRR Matt Bonakdarpour, Sabyasachi Chatterjee, Rina Foygel Barber, John D. Lafferty
2017	J	`jnl`	Optimized Flexible Power Selection for Opportunistic Underlay Cognitive Radio Networks. Wirel. Pers. Commun. Sabyasachi Chatterjee, Prabir Banerjee, Mita Nasipuri
2016	—	`conf`	Local Minimax Complexity of Stochastic Convex Optimization. NIPS Sabyasachi Chatterjee, John C. Duchi, John D. Lafferty, Yuancheng Zhu
2015	—	`conf`	Non cooperative primary users-localization in cognitive radio networks. ReTIS Sabyasachi Chatterjee, Prabir Banerjee
2014	B	`conf`	Information theoretic validity of penalized likelihood. ISIT Sabyasachi Chatterjee, Andrew R. Barron

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.