Salwa K. Al Khatib

14 papers A* 2Journal 10Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	From Masks to Pixels and Meaning: A New Taxonomy, Benchmark, and Metrics for VLM Image Tampering. CoRR Xinyi Shang, Yi Tang, Jiacheng Cui, Ahmed Elhagry, Salwa K. Al Khatib, Sondos Mahmoud Bsharat, Jiacheng Liu, Xiaohan Zhao, Jing-Hao Xue, Hao Li, Salman Khan, Zhiqiang Shen
2025	J	`jnl`	Knowledge Consultation for Semi-Supervised Semantic Segmentation. CoRR Thuan Than, Nhat-Anh Nguyen-Dang, Dung Nguyen, Salwa K. Al Khatib, Ahmed Elhagry, Hai Phan, Yihui He, Zhiqiang Shen, Marios Savvides, Dang Huynh
2025	J	`jnl`	OD3: Optimization-free Dataset Distillation for Object Detection. CoRR Salwa K. Al Khatib, Ahmed Elhagry, Shitong Shao, Zhiqiang Shen
2023	A*	`conf`	3D Indoor Instance Segmentation in an Open-World. NeurIPS Mohamed El Amine Boudjoghra, Salwa K. Al Khatib, Jean Lahoud, Hisham Cholakkal, Rao Muhammad Anwer, Salman H. Khan, Fahad Shahbaz Khan
2023	J	`jnl`	3D Indoor Instance Segmentation in an Open-World. CoRR Mohamed El Amine Boudjoghra, Salwa K. Al Khatib, Jean Lahoud, Hisham Cholakkal, Rao Muhammad Anwer, Salman H. Khan, Fahad Shahbaz Khan
2023	A*	`conf`	3D Instance Segmentation via Enhanced Spatial and Semantic Supervision. ICCV Salwa K. Al Khatib, Mohamed El Amine Boudjoghra, Jean Lahoud, Fahad Shahbaz Khan
2023	J	`jnl`	Drawing Attention to Detail: Pose Alignment through Self-Attention for Fine-Grained Object Classification. CoRR Salwa K. Al Khatib, Mohamed El Amine Boudjoghra, Jameel Hassan
2023	—	`conf`	PECon: Contrastive Pretraining to Enhance Feature Alignment Between CT and EHR Data for Improved Pulmonary Embolism Diagnosis. MLMI@MICCAI (1) Santosh Sanjeev, Salwa K. Al Khatib, Mai A. Shaaban, Ibrahim Almakky, Vijay Ram Papineni, Mohammad Yaqub
2023	J	`jnl`	PECon: Contrastive Pretraining to Enhance Feature Alignment between CT and EHR Data for Improved Pulmonary Embolism Diagnosis. CoRR Santosh Sanjeev, Salwa K. Al Khatib, Mai A. Shaaban, Ibrahim Almakky, Vijay Ram Papineni, Mohammad Yaqub
2023	J	`jnl`	To Perceive or Not to Perceive: Lightweight Stacked Hourglass Network. CoRR Jameel Hassan Abdul Samadh, Salwa K. Al Khatib
2022	J	`jnl`	Intelligent transportation systems: A survey on modern hardware devices for the era of machine learning. J. King Saud Univ. Comput. Inf. Sci. Issam W. Damaj, Salwa K. Al Khatib, Tarek Naous, Wafic Lawand, Zainab Z. Abdelrazzak, Hussein T. Mouftah
2022	J	`jnl`	Machine Learning-Aided Design of Dielectric-Filled Slotted Waveguide Antennas With Specified Sidelobe Levels. IEEE Access Tarek Naous, Amen Al Merie, Salwa K. Al Khatib, Mohammed Al-Husseini, Raed M. Shubair, Hilal M. El Misilmani
2021	—	`conf`	A Deep Learning Framework for Breast Tumor Detection and Localization from Microwave Imaging Data. ICECS Salwa K. Al Khatib, Tarek Naous, Raed M. Shubair, Hilal M. El Misilmani
2020	J	`jnl`	A Survey on Antenna Designs for Breast Cancer Detection Using Microwave Imaging. IEEE Access Hilal M. El Misilmani, Tarek Naous, Salwa K. Al Khatib, Karim Y. Kabalan

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.