Eden Saig

13 papers A* 5A 1Journal 6Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive Contracts for Cost-Effective AI Delegation. CoRR Eden Saig, Tamar Garbuz, Ariel D. Procaccia, Inbal Talgam-Cohen, Jamie Tucker-Foltz
2025	J	`jnl`	Evolutionary Prediction Games. CoRR Eden Saig, Nir Rosenfeld
2024	A*	`conf`	Incentivizing Quality Text Generation via Statistical Contracts. NeurIPS Eden Saig, Ohad Einav, Inbal Talgam-Cohen
2024	J	`jnl`	Incentivizing Quality Text Generation via Statistical Contracts. CoRR Eden Saig, Ohad Einav, Inbal Talgam-Cohen
2023	A*	`conf`	Delegated Classification. NeurIPS Eden Saig, Inbal Talgam-Cohen, Nir Rosenfeld
2023	J	`jnl`	Delegated Classification. CoRR Eden Saig, Inbal Talgam-Cohen, Nir Rosenfeld
2023	A*	`conf`	Learning to Suggest Breaks: Sustainable Optimization of Long-Term User Engagement. ICML Eden Saig, Nir Rosenfeld
2022	J	`jnl`	Learning to Take a Break: Sustainable Optimization of Long-Term User Engagement. CoRR Eden Saig, Nir Rosenfeld
2019	A*	`conf`	Evaluating Expert Curation in a Baby Milestone Tracking App. CHI Ayelet Ben-Sasson, Eli Ben-Sasson, Kayla Jacobs, Elisheva Rotman Argaman, Eden Saig
2019	A	`conf`	The Complexity of User Retention. ITCS Eli Ben-Sasson, Eden Saig
2018	A*	`conf`	Brief Announcement: Towards an Abstract Model of User Retention Dynamics. ICALP Eli Ben-Sasson, Eden Saig
2017	—	`conf`	Baby CROINC: an online, crowd-based, expert-curated system for monitoring child development. PervasiveHealth Ayelet Ben-Sasson, Eli Ben-Sasson, Kayla Jacobs, Eden Saig
2017	J	`jnl`	Collaborative Discovery: A study of Guru-follower dynamics. Electron. Colloquium Comput. Complex. Eli Ben-Sasson, Eden Saig

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.