Adam Ivankay - RankMe

13 papers A* 1A 1Misc 1Journal 8Unranked 2

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Auditing and Generating Synthetic Data With Controllable Trust Trade-Offs. IEEE J. Emerg. Sel. Topics Circuits Syst. Brian Belgodere, Pierre L. Dognin, Adam Ivankay, Igor Melnyk, Youssef Mroueh, Aleksandra Mojsilovic, Jirí Navrátil, Apoorva Nitsure, Inkit Padhi, Mattia Rigotti, Jerret Ross, Yair Schiff, Radhika Vedpathak, Richard A. Young
2023	J	`jnl`	Auditing and Generating Synthetic Data with Controllable Trust Trade-offs. CoRR Brian Belgodere, Pierre L. Dognin, Adam Ivankay, Igor Melnyk, Youssef Mroueh, Aleksandra Mojsilovic, Jirí Navrátil, Apoorva Nitsure, Inkit Padhi, Mattia Rigotti, Jerret Ross, Yair Schiff, Radhika Vedpathak, Richard A. Young
2023	—	`conf`	DARE: Towards Robust Text Explanations in Biomedical and Healthcare Applications. ACL (1) Adam Ivankay, Mattia Rigotti, Pascal Frossard
2023	J	`jnl`	DARE: Towards Robust Text Explanations in Biomedical and Healthcare Applications. CoRR Adam Ivankay, Mattia Rigotti, Pascal Frossard
2022	J	`jnl`	Estimating the Adversarial Robustness of Attributions in Text with Transformers. CoRR Adam Ivankay, Mattia Rigotti, Ivan Girardi, Chiara Marchiori, Pascal Frossard
2022	A*	`conf`	Fooling Explanations in Text Classifiers. ICLR Adam Ivankay, Ivan Girardi, Chiara Marchiori, Pascal Frossard
2022	J	`jnl`	Fooling Explanations in Text Classifiers. CoRR Adam Ivankay, Ivan Girardi, Chiara Marchiori, Pascal Frossard
2021	A	`conf`	FAR: A General Framework for Attributional Robustness. BMVC Adam Ivankay, Ivan Girardi, Chiara Marchiori, Pascal Frossard
2020	Misc	`conf`	Artificial Intelligence Decision Support for Medical Triage. AMIA Chiara Marchiori, Douglas Dykeman, Ivan Girardi, Adam Ivankay, Kevin Thandiackal, Mario Zusag, Andrea Giovannini, Daniel Karpati, Henri L. Saenz
2020	J	`jnl`	Artificial Intelligence Decision Support for Medical Triage. CoRR Chiara Marchiori, Douglas Dykeman, Ivan Girardi, Adam Ivankay, Kevin Thandiackal, Mario Zusag, Andrea Giovannini, Daniel Karpati, Henri Saenz
2020	J	`jnl`	FAR: A General Framework for Attributional Robustness. CoRR Adam Ivankay, Ivan Girardi, Chiara Marchiori, Pascal Frossard
2018	—	`conf`	Patient Risk Assessment and Warning Symptom Detection Using Deep Attention-Based Neural Networks. Louhi@EMNLP Ivan Girardi, Pengfei Ji, An-phi Nguyen, Nora Hollenstein, Adam Ivankay, Lorenz Kuhn, Chiara Marchiori, Ce Zhang
2018	J	`jnl`	Patient Risk Assessment and Warning Symptom Detection Using Deep Attention-Based Neural Networks. CoRR Ivan Girardi, Pengfei Ji, An-phi Nguyen, Nora Hollenstein, Adam Ivankay, Lorenz Kuhn, Chiara Marchiori, Ce Zhang

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.