Safwan Hossain

32 papers A* 10A 1Journal 19Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	The Prosocial Ranking Challenge: Reducing Polarization on Social Media without Sacrificing Engagement. CoRR Jonathan Stray, Ian Baker, George Beknazar-Yuzbashev, Ceren Budak, Julia Kamin, Kylan Rutherford, Mateusz Stalinski, Tin Acosta, Chris Bailey, Michael S. Bernstein, Mark Brandt, Amy Bruckman, Anshuman Chhabra, Soham De, Kayla Duskin, Sara Fish, Beth Goldberg, Andy Guess, Dylan Hadfield-Menell, Muhammad Haroon, Safwan Hossain, Michael Inzlicht, Gauri Jain, Yanchen Jiang, Alexander P. Landry, Yph Lelkes, Hongfan Lu, Peter Mason, Jennifer McCoy, Smitha Milli, Paul Resnick, Emily Saltz, Martin Saveski, Lisa Schirch, Max Spohn, Siddarth Srinivasan, Alexis Tatore, Luke Thorburn, Joshua A. Tucker, Robb Willer, Magdalena Wojcieszak, Manuel Wüthrich, Sylvan Zheng
2025	J	`jnl`	Information Design With Large Language Models. CoRR Paul Duetting, Safwan Hossain, Tao Lin, Renato Paes Leme, Sai Srivatsa Ravindranath, Haifeng Xu, Song Zuo
2025	J	`jnl`	Learning to Play Multi-Follower Bayesian Stackelberg Games. CoRR Gerson Personnat, Tao Lin, Safwan Hossain, David C. Parkes
2025	A*	`conf`	Strategic Classification With Externalities. ICLR Safwan Hossain, Evi Micha, Yiling Chen, Ariel D. Procaccia
2025	J	`jnl`	Strategic Hypothesis Testing. CoRR Safwan Hossain, Yatong Chen, Yiling Chen
2024	A*	`conf`	A Persuasive Approach to Combating Misinformation. ICML Safwan Hossain, Andjela Mladenovic, Yiling Chen, Gauthier Gidel
2024	A*	`conf`	Computing Voting Rules with Elicited Incomplete Votes. EC Daniel Halpern, Safwan Hossain, Jamie Tucker-Foltz
2024	J	`jnl`	Computing Voting Rules with Elicited Incomplete Votes. CoRR Daniel Halpern, Safwan Hossain, Jamie Tucker-Foltz
2024	A*	`conf`	Equilibrium of Data Markets with Externality. ICML Safwan Hossain, Yiling Chen
2024	J	`jnl`	JacNet: Learning Functions with Structured Jacobians. CoRR Jonathan Lorraine, Safwan Hossain
2024	J	`jnl`	Multi-Sender Persuasion - A Computational Perspective. CoRR Safwan Hossain, Tonghan Wang, Tao Lin, Yiling Chen, David C. Parkes, Haifeng Xu
2024	A*	`conf`	Multi-Sender Persuasion: A Computational Perspective. ICML Safwan Hossain, Tonghan Wang, Tao Lin, Yiling Chen, David C. Parkes, Haifeng Xu
2024	A*	`conf`	Position: Social Environment Design Should be Further Developed for AI-based Policy-Making. ICML Edwin Zhang, Sadie Zhao, Tonghan Wang, Safwan Hossain, Henry Gasztowtt, Stephan Zheng, David C. Parkes, Milind Tambe, Yiling Chen
2024	J	`jnl`	Social Environment Design. CoRR Edwin Zhang, Sadie Zhao, Tonghan Wang, Safwan Hossain, Henry Gasztowtt, Stephan Zheng, David C. Parkes, Milind Tambe, Yiling Chen
2024	J	`jnl`	Strategic Classification With Externalities. CoRR Yiling Chen, Safwan Hossain, Evi Micha, Ariel D. Procaccia
2023	J	`jnl`	A Persuasive Approach to Combating Misinformation. CoRR Safwan Hossain, Andjela Mladenovic, Yiling Chen, Gauthier Gidel
2023	J	`jnl`	Equilibrium and Learning in Fixed-Price Data Markets with Externality. CoRR Yiling Chen, Safwan Hossain
2023	A*	`conf`	Proportionally Fair Online Allocation of Public Goods with Predictions. IJCAI Siddhartha Banerjee, Vasilis Gkatzelis, Safwan Hossain, Billy Jin, Evi Micha, Nisarg Shah
2022	J	`jnl`	Proportionally Fair Online Allocation of Public Goods with Predictions. CoRR Siddhartha Banerjee, Vasilis Gkatzelis, Safwan Hossain, Billy Jin, Evi Micha, Nisarg Shah
2021	A*	`conf`	Fair Algorithms for Multi-Agent Multi-Armed Bandits. NeurIPS Safwan Hossain, Evi Micha, Nisarg Shah
2021	J	`jnl`	The effect of strategic noise in linear regression. Auton. Agents Multi Agent Syst. Safwan Hossain, Nisarg Shah
2020	A*	`conf`	Designing Fairly Fair Classifiers Via Economic Fairness Notions. WWW Safwan Hossain, Andjela Mladenovic, Nisarg Shah
2020	—	`conf`	Exploring Text Specific and Blackbox Fairness Algorithms in Multimodal Clinical NLP. ClinicalNLP@EMNLP John Chen, Ian Berlot-Attwell, Xindi Wang, Safwan Hossain, Frank Rudzicz
2020	J	`jnl`	Exploring Text Specific and Blackbox Fairness Algorithms in Multimodal Clinical NLP. CoRR John Chen, Ian Berlot-Attwell, Safwan Hossain, Xindi Wang, Frank Rudzicz
2020	J	`jnl`	Fair Algorithms for Multi-Agent Multi-Armed Bandits. CoRR Safwan Hossain, Evi Micha, Nisarg Shah
2020	A	`conf`	The Effect of Strategic Noise in Linear Regression. AAMAS Safwan Hossain, Nisarg Shah
2020	J	`jnl`	The Effect of Strategic Noise in Linear Regression. CoRR Safwan Hossain, Nisarg Shah
2020	A*	`conf`	The Surprising Power of Hiding Information in Facility Location. AAAI Safwan Hossain, Evi Micha, Nisarg Shah
2019	—	`conf`	Generative Adversarial Networks for Text Using Word2vec Intermediaries. RepL4NLP@ACL Akshay Budhkar, Krishnapriya Vishnubhotla, Safwan Hossain, Frank Rudzicz
2019	J	`jnl`	Generative Adversarial Networks for text using word2vec intermediaries. CoRR Akshay Budhkar, Krishnapriya Vishnubhotla, Safwan Hossain, Frank Rudzicz
2018	J	`jnl`	ChainGAN: A sequential approach to GANs. CoRR Safwan Hossain, Kiarash Jamali, Yuchen Li, Frank Rudzicz
2018	J	`jnl`	DeepConsensus: using the consensus of features from multiple layers to attain robust image classification. CoRR Yuchen Li, Safwan Hossain, Kiarash Jamali, Frank Rudzicz

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.