Farnam Mansouri

23 papers A* 3B 1Misc 1Journal 16Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Active learning from positive and unlabeled examples. CoRR Farnam Mansouri, Sandra Zilles, Shai Ben-David
2026	J	`jnl`	Learning Half-Spaces from Perturbed Contrastive Examples. CoRR Aryan Alavi Razavi Ravari, Farnam Mansouri, Yuxin Chen, Valentio Iverson, Adish Singla, Sandra Zilles
2026	J	`jnl`	Learning with Multiple Correct Answers - A Trichotomy of Regret Bounds under Different Feedback Models. CoRR Alireza F. Pour, Farnam Mansouri, Shai Ben-David
2025	J	`jnl`	Formal Models of Active Learning from Contrastive Examples. CoRR Farnam Mansouri, Hans Ulrich Simon, Adish Singla, Yuxin Chen, Sandra Zilles
2025	J	`jnl`	Learning from positive and unlabeled examples -Finite size sample bounds. CoRR Farnam Mansouri, Shai Ben-David
2025	J	`jnl`	The Computational Complexity of Almost Stable Clustering with Penalties. CoRR Kamyar Khodamoradi, Farnam Mansouri, Sandra Zilles
2022	J	`jnl`	ChOracle: A Unified Statistical Framework for Churn Prediction. IEEE Trans. Knowl. Data Eng. Ali Khodadadi, Seyed Abbas Hosseini, Ehsan Pajouheshgar, Farnam Mansouri, Hamid R. Rabiee
2022	A*	`conf`	On Batch Teaching with Sample Complexity Bounded by VCD. NeurIPS Farnam Mansouri, Hans Simon, Adish Singla, Sandra Zilles
2021	J	`jnl`	Deep Reinforcement Learning for Online Control of Stochastic Partial Differential Equations. CoRR Erfan Pirmorad, Faraz Khoshbakhtian, Farnam Mansouri, Amir-massoud Farahmand
2020	J	`jnl`	Preference-Based Batch and Sequential Teaching. CoRR Farnam Mansouri, Yuxin Chen, Ara Vartanian, Xiaojin Zhu, Adish Singla
2020	A*	`conf`	Understanding the Power and Limitations of Teaching with Imperfect Knowledge. IJCAI Rati Devidze, Farnam Mansouri, Luis Haug, Yuxin Chen, Adish Singla
2020	J	`jnl`	Understanding the Power and Limitations of Teaching with Imperfect Knowledge. CoRR Rati Devidze, Farnam Mansouri, Luis Haug, Yuxin Chen, Adish Singla
2019	J	`jnl`	ChOracle: A Unified Statistical Framework for Churn Prediction. CoRR Ali Khodadadi, Seyyed Abbas Hosseini, Ehsan Pajouheshgar, Farnam Mansouri, Hamid R. Rabiee
2019	A*	`conf`	Preference-Based Batch and Sequential Teaching: Towards a Unified View of Models. NeurIPS Farnam Mansouri, Yuxin Chen, Ara Vartanian, Xiaojin (Jerry) Zhu, Adish Singla
2019	J	`jnl`	Preference-Based Batch and Sequential Teaching: Towards a Unified View of Models. CoRR Farnam Mansouri, Yuxin Chen, Ara Vartanian, Xiaojin Zhu, Adish Singla
2017	J	`jnl`	CUMODP: a CUDA library for modular polynomial computation. ACM Commun. Comput. Algebra Sardar Anisul Haque, X. Li, Farnam Mansouri, Marc Moreno Maza, Davood Mohajerani, Wei Pan
2016	Misc	`conf`	Parallel Integer Polynomial Multiplication. SYNASC Changbo Chen, Svyatoslav Covanov, Farnam Mansouri, Marc Moreno Maza, Ning Xie, Yuzhen Xie
2016	J	`jnl`	Parallel Integer Polynomial Multiplication. CoRR Changbo Chen, Svyatoslav Covanov, Farnam Mansouri, Marc Moreno Maza, Ning Xie, Yuzhen Xie
2016	J	`jnl`	The basic polynomial algebra subprograms. ACM Commun. Comput. Algebra Changbo Chen, Svyatoslav Covanov, Farnam Mansouri, Robert H. C. Moir, Marc Moreno Maza, Ning Xie, Yuzhen Xie
2014	J	`jnl`	Basic Polynomial Algebra Subprograms. ACM Commun. Comput. Algebra Changbo Chen, Svyatoslav Covanov, Farnam Mansouri, Marc Moreno Maza, Ning Xie, Yuzhen Xie
2014	—	`conf`	Dense Arithmetic over Finite Fields with the CUMODP Library. ICMS Sardar Anisul Haque, Xin Li, Farnam Mansouri, Marc Moreno Maza, Wei Pan, Ning Xie
2014	B	`conf`	On the Parallelization of Subproduct Tree Techniques Targeting Many-Core Architectures. CASC Sardar Anisul Haque, Farnam Mansouri, Marc Moreno Maza
2014	—	`conf`	The Basic Polynomial Algebra Subprograms. ICMS Changbo Chen, Svyatoslav Covanov, Farnam Mansouri, Marc Moreno Maza, Ning Xie, Yuzhen Xie

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.