Zeynab Samei - RankMe

13 papers Journal 11Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Unsupervised Elicitation of Moral Values from Language Models. CoRR Meysam Alizadeh, Fabrizio Gilardi, Zeynab Samei
2025	J	`jnl`	Open-source LLMs for text annotation: a practical guide for model setting and fine-tuning. J. Comput. Soc. Sci. Meysam Alizadeh, Maël Kubli, Zeynab Samei, Shirin Dehghani, Mohammadmasiha Zahedivafa, Juan Diego Bermeo, Maria Korobeynikova, Fabrizio Gilardi
2025	J	`jnl`	Simple Prompt Injection Attacks Can Leak Personal Data Observed by LLM Agents During Task Execution. CoRR Meysam Alizadeh, Zeynab Samei, Daria Stetsenko, Fabrizio Gilardi
2025	J	`jnl`	Web-Browsing LLMs Can Access Social Media Profiles and Infer User Demographics. CoRR Meysam Alizadeh, Fabrizio Gilardi, Zeynab Samei, Mohsen Mosleh
2024	J	`jnl`	Comparing Methods for Creating a National Random Sample of Twitter Users. CoRR Meysam Alizadeh, Darya Zare, Zeynab Samei, Mohammadamin Alizadeh, Maël Kubli, Mohammadhadi Aliahmadi, Sarvenaz Ebrahimi, Fabrizio Gilardi
2024	J	`jnl`	Comparing methods for creating a national random sample of twitter users. Soc. Netw. Anal. Min. Meysam Alizadeh, Darya Zare, Zeynab Samei, Mohammadamin Alizadeh, Maël Kubli, Mohammadhadi Aliahmadi, Sarvenaz Ebrahimi, Fabrizio Gilardi
2024	—	`conf`	Exploring Relationships Between Cryptocurrency News Outlets and Influencers' Twitter Activity and Market Prices. ASONAM (1) Meysam Alizadeh, Yasaman Asgari, Zeynab Samei, Sara Yari, Shirin Dehghani, Maël Kubli, Darya Zare, Juan Diego Bermeo, Veronika Batzdorfer, Fabrizio Gilardi
2024	J	`jnl`	Exploring Relationships Between Cryptocurrency News Outlets and Influencers' Twitter Activity and Market Prices. CoRR Meysam Alizadeh, Yasaman Asgari, Zeynab Samei, Sara Yari, Shirin Dehghani, Maël Kubli, Darya Zare, Juan Diego Bermeo, Veronika Batzdorfer, Fabrizio Gilardi
2024	—	`conf`	Leveraging Large Language Models for Fact-Checking Farsi News Headlines. MISDOOM Shirin Dehghani, Mohammadmasiha Zahedivafa, Zahra Baghshahi, Darya Zare, Sara Yari, Zeynab Samei, Mohammadhadi Aliahmadi, Mahdis Abbasi, Sara Mirzamojtahedi, Sarvenaz Ebrahimi, Meysam Alizadeh
2023	J	`jnl`	Open-Source Large Language Models Outperform Crowd Workers and Approach ChatGPT in Text-Annotation Tasks. CoRR Meysam Alizadeh, Maël Kubli, Zeynab Samei, Shirin Dehghani, Juan Diego Bermeo, Maria Korobeynikova, Fabrizio Gilardi
2022	J	`jnl`	Impact of Centrality Measures on the Common Neighbors in Link Prediction for Multiplex Networks. Big Data Elahe Nasiri, Kamal Berahmand, Zeynab Samei, Yuefeng Li
2021	J	`jnl`	A novel recovery strategy based on link prediction and hyperbolic geometry of complex networks. J. Complex Networks Mahdi Moshiri, Farshad Safaei, Zeynab Samei
2019	J	`jnl`	Discovering spurious links in multiplex networks based on interlayer relevance. J. Complex Networks Zeynab Samei, Mahdi Jalili

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.