Dana Atzil-Slonim

12 papers Journal 8Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Responsible Evaluation of AI for Mental Health. CoRR Hiba Arnaout, Anmol Goel, H. Andrew Schwartz, Steffen Eberhardt, Dana Atzil-Slonim, Gavin Doherty, Brian Schwartz, Wolfgang Lutz, Tim Althoff, Munmun De Choudhury, Hamidreza Jamalabadi, Raj Sanjay Shah, Flor Miriam Plaza del Arco, Dirk Hovy, Maria Liakata, Iryna Gurevych
2026	—	`conf`	Tailored Emotional LLM-Supporter: Enhancing Cultural Sensitivity. EACL (Volume 1: Long Papers) Chen Cecilia Liu, Hiba Arnaout, Nils Kovacic, Dana Atzil-Slonim, Iryna Gurevych
2025	J	`jnl`	Automated Data Enrichment using Confidence-Aware Fine-Grained Debate among Open-Source LLMs for Mental Health and Online Safety. CoRR Junyu Mao, Anthony Hills, Talia Tseriotou, Maria Liakata, Aya Shamir, Dan Sayda, Dana Atzil-Slonim, Natalie Djohari, Arpan Mandal, Silke Roth, Pamela Ugwudike, Mahesan Niranjan, Stuart E. Middleton
2025	J	`jnl`	Enhancing Depression Detection via Question-wise Modality Fusion. CoRR Aishik Mandal, Dana Atzil-Slonim, Thamar Solorio, Iryna Gurevych
2025	J	`jnl`	Tailored Emotional LLM-Supporter: Enhancing Cultural Sensitivity. CoRR Chen Cecilia Liu, Hiba Arnaout, Nils Kovacic, Dana Atzil-Slonim, Iryna Gurevych
2025	—	`conf`	Temporal reasoning for timeline summarisation in social media. ACL (1) Jiayu Song, Mahmud Elahi Akhter, Dana Atzil-Slonim, Maria Liakata
2025	J	`jnl`	Temporal reasoning for timeline summarisation in social media. CoRR Jiayu Song, Mahmud Elahi Akhter, Dana Atzil-Slonim, Maria Liakata
2024	J	`jnl`	Clinically meaningful timeline summarisation in social media for mental health monitoring. CoRR Jiayu Song, Jenny Chim, Adam Tsakalidis, Julia Ive, Dana Atzil-Slonim, Maria Liakata
2024	—	`conf`	Combining Hierachical VAEs with LLMs for clinically meaningful timeline summarisation in social media. ACL (Findings) Jiayu Song, Jenny Chim, Adam Tsakalidis, Julia Ive, Dana Atzil-Slonim, Maria Liakata
2024	J	`jnl`	Large language models for mental health. CoRR Andreas Triantafyllopoulos, Yannik Terhorst, Iosif Tsangko, Florian B. Pokorny, Katrin D. Bartl-Pokorny, Lennart Seizer, Ayal Klein, Jenny Chim, Dana Atzil-Slonim, Maria Liakata, Markus Bühner, Johanna Löchner, Björn W. Schuller
2024	—	`conf`	Predicting Client Emotions and Therapist Interventions in Psychotherapy Dialogues. EACL (1) Tobias Mayer, Neha Warikoo, Amir Eliassaf, Dana Atzil-Slonim, Iryna Gurevych
2022	J	`jnl`	NLP meets psychotherapy: Using predicted client emotions and self-reported client emotions to measure emotional coherence. CoRR Neha Warikoo, Tobias Mayer, Dana Atzil-Slonim, Amir Eliassaf, Shira Haimovitz, Iryna Gurevych

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.