Benjamin Elder

11 papers A* 1Journal 9Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Live API-Bench: 2500+ Live APIs for Testing Multi-Step Tool Calling. EACL (Volume 1: Long Papers) Benjamin Elder, Anupama Murthi, Jungkoo Kang, Ankita Naik, Kinjal Basu, Kiran Kate, Danish Contractor
2025	J	`jnl`	Boosting Instruction Following at Scale. CoRR Benjamin Elder, Evelyn Duesterwald, Vinod Muthusamy
2025	J	`jnl`	Invocable APIs derived from NL2SQL datasets for LLM Tool-Calling Evaluation. CoRR Benjamin Elder, Anupama Murthi, Jungkoo Kang, Ankita Rajaram Naik, Kiran Kate, Kinjal Basu, Danish Contractor
2023	J	`jnl`	Assessment of Prediction Intervals Using Uncertainty Characteristics Curves. CoRR Jirí Navrátil, Benjamin Elder, Matthew Arnold, Soumya Ghosh, Prasanna Sattigeri
2021	A*	`conf`	Learning Prediction Intervals for Model Performance. AAAI Benjamin Elder, Matthew Arnold, Anupama Murthi, Jirí Navrátil
2021	J	`jnl`	Uncertainty Characteristics Curves: A Systematic Assessment of Prediction Intervals. CoRR Jirí Navrátil, Benjamin Elder, Matthew Arnold, Soumya Ghosh, Prasanna Sattigeri
2020	J	`jnl`	Learning Prediction Intervals for Model Performance. CoRR Benjamin Elder, Matthew Arnold, Anupama Murthi, Jirí Navrátil
2020	J	`jnl`	Not Your Grandfathers Test Set: Reducing Labeling Effort for Testing. CoRR Begum Taskazan, Jirí Navrátil, Matthew Arnold, Anupama Murthi, Ganesh Venkataraman, Benjamin Elder
2020	J	`jnl`	Towards Automating the AI Operations Lifecycle. CoRR Matthew Arnold, Jeffrey Boston, Michael Desmond, Evelyn Duesterwald, Benjamin Elder, Anupama Murthi, Jirí Navrátil, Darrell Reimer
2020	J	`jnl`	Uncertainty Prediction for Deep Sequential Regression Using Meta Models. CoRR Jirí Navrátil, Matthew Arnold, Benjamin Elder
2019	J	`jnl`	NeuNetS: An Automated Synthesis Engine for Neural Network Design. CoRR Atin Sood, Benjamin Elder, Benjamin Herta, Chao Xue, Costas Bekas, A. Cristiano I. Malossi, Debashish Saha, Florian Scheidegger, Ganesh Venkataraman, Gegi Thomas, Giovanni Mariani, Hendrik Strobelt, Horst Samulowitz, Martin Wistuba, Matteo Manica, Mihir R. Choudhury, Rong Yan, Roxana Istrate, Ruchir Puri, Tejaswini Pedapati

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.