Faidra Monachou

12 papers A* 4Journal 5Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Why the Rooney Rule Fumbles: Limitations of Interview-stage Diversity Interventions in Labor Markets. EAAMO Setareh Farajollahzadeh, Soonbong Lee, Vahideh H. Manshadi, Faidra Monachou
2025	A*	`conf`	Why the Rooney Rule Fumbles: Limitations of Interview-stage Diversity Interventions in Labor Markets. EC Setareh Farajollahzadeh, Soonbong Lee, Vahideh H. Manshadi, Faidra Monachou
2024	A*	`conf`	Optimal Cohort Partitions. EC Sofoklis Goulas, Faidra Monachou
2023	A*	`conf`	Online Platforms and the Fair Exposure Problem under Homophily. AAAI Jakob Schoeffer, Alexander Ritchie, Keziah Naggita, Faidra Monachou, Jessica Finocchiaro, Marc Juarez
2022	J	`jnl`	Fairness and equity in resource allocation and decision-making: an annotated reading list. SIGecom Exch. Faidra Monachou, Ana-Andreea Stoica
2022	J	`jnl`	Online Platforms and the Fair Exposure Problem Under Homophily. CoRR Jakob Schöffer, Alexander Ritchie, Keziah Naggita, Faidra Monachou, Jessie Finocchiaro, Marc Juarez
2021	—	`conf`	Bridging Machine Learning and Mechanism Design towards Algorithmic Fairness. FAccT Jessie Finocchiaro, Roland Maio, Faidra Monachou, Gourab K. Patro, Manish Raghavan, Ana-Andreea Stoica, Stratis Tsirtsis
2021	A*	`conf`	Counterbalancing Learning and Strategic Incentives in Allocation Markets. NeurIPS Jamie Kang, Faidra Monachou, Moran Koren, Itai Ashlagi
2021	J	`jnl`	Novel practices and highlights from the Fourth Workshop on Mechanism Design for Social Good. AI Matters Francisco J. Marmolejo Cossío, Faidra Monachou
2021	—	`conf`	Standardized Tests and Affirmative Action: The Role of Bias and Variance. FAccT Nikhil Garg, Hannah Li, Faidra Monachou
2020	J	`jnl`	Bridging Machine Learning and Mechanism Design towards Algorithmic Fairness. CoRR Jessie Finocchiaro, Roland Maio, Faidra Monachou, Gourab K. Patro, Manish Raghavan, Ana-Andreea Stoica, Stratis Tsirtsis
2020	J	`jnl`	Standardized Tests and Affirmative Action: The Role of Bias and Variance. CoRR Nikhil Garg, Hannah Li, Faidra Monachou

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.