Salma Elmalaki

43 papers A* 3C 2Misc 2Journal 25Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Can LLMs Discern the Traits Influencing Your Preferences? Evaluating Personality-Driven Preference Alignment in LLMs. CoRR Tianyu Zhao, Siqi Li, Yasser Shoukry, Salma Elmalaki
2026	J	`jnl`	From Dead Neurons to Deep Approximators: Deep Bernstein Networks as a Provable Alternative to Residual Layers. CoRR Ibrahim Albool, Malak Gamal El-Din, Salma Elmalaki, Yasser Shoukry
2026	A*	`conf`	What Sensors See, What People Feel: An Exploratory Study of Subjective Collaboration Perception in Mixed Reality. VR Yasra Chandio, Diana Romero, Salma Elmalaki, Fatima M. Anwar
2025	J	`jnl`	AutoFR: Automated Filter Rule Generation for Adblocking. ACM Trans. Priv. Secur. Hieu Le, Salma Elmalaki, Athina Markopoulou, Zubair Shafiq
2025	J	`jnl`	AutoLike: Auditing Social Media Recommendations through User Interactions. CoRR Hieu Le, Salma Elmalaki, Zubair Shafiq, Athina Markopoulou
2025	J	`jnl`	BehaVR: User Identification Based on VR Sensor Data. Proc. Priv. Enhancing Technol. Ismat Jarin, Yu Duan, Rahmadi Trimananda, Hao Cui, Salma Elmalaki, Athina Markopoulou
2025	J	`jnl`	FinP: Fairness-in-Privacy in Federated Learning by Addressing Disparities in Privacy Risk. CoRR Tianyu Zhao, Mahmoud Srewa, Salma Elmalaki
2025	J	`jnl`	M-CALLM: Multi-level Context Aware LLM Framework for Group Interaction Prediction. CoRR Diana Romero, Xin Gao, Daniel Khalkhali, Salma Elmalaki
2025	—	`conf`	MoCoMR: A Collaborative MR Simulator with Individual Behavior Modeling. HumanSys@SenSys Diana Romero, Fatima M. Anwar, Salma Elmalaki
2025	J	`jnl`	MoCoMR: A Collaborative MR Simulator with Individual Behavior Modeling. CoRR Diana Romero, Fatima M. Anwar, Salma Elmalaki
2025	—	`conf`	PluralLLM: Pluralistic Alignment in LLMs via Federated Learning. HumanSys@SenSys Mahmoud Srewa, Tianyu Zhao, Salma Elmalaki
2025	J	`jnl`	PluralLLM: Pluralistic Alignment in LLMs via Federated Learning. CoRR Mahmoud Srewa, Tianyu Zhao, Salma Elmalaki
2025	J	`jnl`	What Sensors See, What People Feel: Exploring Subjective Collaboration Perception in Mixed Reality. CoRR Yasra Chandio, Diana Romero, Salma Elmalaki, Fatima M. Anwar
2024	J	`jnl`	ERUDITE: Human-in-the-Loop IoT for an Adaptive Personalized Learning System. IEEE Internet Things J. Mojtaba Taherisadr, Mohammad Abdullah Al Faruque, Salma Elmalaki
2024	—	`conf`	FAIRO: Fairness-aware Sequential Decision Making for Human-in-the-Loop CPS. ICCPS Tianyu Zhao, Mojtaba Taherisadr, Salma Elmalaki
2024	—	`conf`	FinA: Fairness of Adverse Effects in Decision-Making of Human-Cyber-Physical-System. ICCPS Tianyu Zhao, Salma Elmalaki
2024	J	`jnl`	GroupBeaMR: Analyzing Collaborative Group Behavior in Mixed Reality Through Passive Sensing and Sociometry. CoRR Diana Romero, Yasra Chandio, Fatima M. Anwar, Salma Elmalaki
2024	J	`jnl`	PAPER-HILT: Personalized and Adaptive Privacy-Aware Early-Exit for Reinforcement Learning in Human-in-the-Loop Systems. CoRR Mojtaba Taherisadr, Salma Elmalaki
2023	A*	`conf`	AutoFR: Automated Filter Rule Generation for Adblocking. USENIX Security Symposium Hieu Le, Salma Elmalaki, Athina Markopoulou, Zubair Shafiq
2023	J	`jnl`	BehaVR: User Identification Based on VR Sensor Data. CoRR Ismat Jarin, Yu Duan, Rahmadi Trimananda, Hao Cui, Salma Elmalaki, Athina Markopoulou
2023	J	`jnl`	ERUDITE: Human-in-the-Loop IoT for an Adaptive Personalized Learning System. CoRR Mojtaba Taherisadr, Mohammad Abdullah Al Faruque, Salma Elmalaki
2023	J	`jnl`	FAIRO: Fairness-aware Adaptation in Sequential-Decision Making for Human-in-the-Loop Systems. CoRR Tianyu Zhao, Mojtaba Taherisadr, Salma Elmalaki
2023	J	`jnl`	FinA: Fairness of Adverse Effects in Decision-Making of Human-Cyber-Physical-System. CoRR Tianyu Zhao, Salma Elmalaki
2023	J	`jnl`	GaitGuard: Towards Private Gait in Mixed Reality. CoRR Diana Romero, Ruchi Jagdish Patel, Athina Markopoulou, Salma Elmalaki
2023	J	`jnl`	Towards Behavioral-aware Crowd Management System. CoRR Yixin Zhang, Tianyu Zhao, Salma Elmalaki
2023	—	`conf`	adaPARL: Adaptive Privacy-Aware Reinforcement Learning for Sequential Decision Making Human-in-the-Loop Systems. IoTDI Mojtaba Taherisadr, Stelios Andrew Stavroulakis, Salma Elmalaki
2023	J	`jnl`	adaPARL: Adaptive Privacy-Aware Reinforcement Learning for Sequential-Decision Making Human-in-the-Loop Systems. CoRR Mojtaba Taherisadr, Stelios Andrew Stavroulakis, Salma Elmalaki
2022	J	`jnl`	AutoFR: Automated Filter Rule Generation for Adblocking. CoRR Hieu Le, Salma Elmalaki, Athina Markopoulou, Zubair Shafiq
2022	C	`conf`	MAConAuto: Framework for Mobile-Assisted Human-in-the-Loop Automotive System. IV Salma Elmalaki
2022	J	`jnl`	VindiCo: Privacy Safeguard Against Adaptation Based Spyware in Human-in-the-Loop IoT. CoRR Salma Elmalaki, Bo-Jhang Ho, Moustafa Alzantot, Yasser Shoukry, Mani B. Srivastava
2021	—	`conf`	FaiR-IoT: Fairness-aware Human-in-the-Loop Reinforcement Learning for Harnessing Human Variability in Personalized IoT. IoTDI Salma Elmalaki
2021	J	`jnl`	FaiR-IoT: Fairness-aware Human-in-the-Loop Reinforcement Learning for Harnessing Human Variability in Personalized IoT. CoRR Salma Elmalaki
2021	J	`jnl`	Future of Smart Classroom in the Era of Wearable Neurotechnology. CoRR Mojtaba Taherisadr, Berken Utku Demirel, Mohammad Abdullah Al Faruque, Salma Elmalaki
2021	—	`conf`	Towards Internet-of-Things for Wearable Neurotechnology. ISQED Salma Elmalaki, Berken Utku Demirel, Mojtaba Taherisadr, Sara Stern-Nezer, Jack J. Lin, Mohammad Abdullah Al Faruque
2019	—	`conf`	SpyCon: Adaptation Based Spyware in Human-in-the-Loop IoT. IEEE Symposium on Security and Privacy Workshops Salma Elmalaki, Bo-Jhang Ho, Moustafa Alzantot, Yasser Shoukry, Mani B. Srivastava
2018	—	`conf`	Internet of Personalized and Autonomous Things (IoPAT): Smart Homes Case Study. CitiFog@SenSys Salma Elmalaki, Yasser Shoukry, Mani B. Srivastava
2018	Misc	`conf`	Sentio: Driver-in-the-Loop Forward Collision Warning Using Multisample Reinforcement Learning. SenSys Salma Elmalaki, Huey-Ru Tsai, Mani B. Srivastava
2018	—	`—`	Software Mechanisms for Pervasive and Autonomous Computing. Salma Elmalaki
2016	J	`jnl`	CAreDroid: Adaptation Framework for Android Context-Aware Applications. GetMobile Mob. Comput. Commun. Salma Elmalaki, Lucas Francisco Wanner, Mani B. Srivastava
2015	A*	`conf`	CAreDroid: Adaptation Framework for Android Context-Aware Applications. MobiCom Salma Elmalaki, Lucas Francisco Wanner, Mani B. Srivastava
2014	—	`conf`	A Case for Battery Charging-Aware Power Management and Deferrable Task Scheduling in Smartphones. HotPower Salma Elmalaki, Mark Gottscho, Puneet Gupta, Mani B. Srivastava
2013	C	`conf`	Towards analyzing and improving robustness of software applications to intermittent and permanent faults in hardware. ICCD Ankur Sharma, Joseph Sloan, Lucas Francisco Wanner, Salma Elmalaki, Mani B. Srivastava, Puneet Gupta
2013	Misc	`conf`	VarEMU: An emulation testbed for variability-aware software. CODES+ISSS Lucas Francisco Wanner, Salma Elmalaki, Liangzhen Lai, Puneet Gupta, Mani B. Srivastava

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.