Sahar Rahimi Malakshan

24 papers A* 2A 2B 6Journal 12Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Decomposed Distribution Matching in Dataset Condensation. WACV Sahar Rahimi Malakshan, Mohammad Saeed Ebrahimi Saadabadi, Ali Dabouei, Nasser M. Nasrabadi
2025	A*	`conf`	GIF: Generative Inspiration for Face Recognition at Scale. CVPR Saeed Ebrahimi, Sahar Rahimi Malakshan, Ali Dabouei, Srinjoy Das, Jeremy M. Dawson, Nasser M. Nasrabadi
2025	J	`jnl`	GIF: Generative Inspiration for Face Recognition at Scale. CoRR Saeed Ebrahimi, Sahar Rahimi Malakshan, Ali Dabouei, Srinjoy Das, Jeremy M. Dawson, Nasser M. Nasrabadi
2024	—	`conf`	ARoFace: Alignment Robustness to Improve Low-Quality Face Recognition. ECCV (33) Mohammad Saeed Ebrahimi Saadabadi, Sahar Rahimi Malakshan, Ali Dabouei, Nasser M. Nasrabadi
2024	J	`jnl`	ARoFace: Alignment Robustness to Improve Low-Quality Face Recognition. CoRR Mohammad Saeed Ebrahimi Saadabadi, Sahar Rahimi Malakshan, Ali Dabouei, Nasser M. Nasrabadi
2024	B	`conf`	Boosting Unconstrained Face Recognition with Targeted Style Adversary. IJCB Mohammad Saeed Ebrahimi Saadabadi, Sahar Rahimi Malakshan, Seyed Rasoul Hosseini, Nasser M. Nasrabadi
2024	J	`jnl`	Boosting Unconstrained Face Recognition with Targeted Style Adversary. CoRR Mohammad Saeed Ebrahimi Saadabadi, Sahar Rahimi Malakshan, Seyed Rasoul Hosseini, Nasser M. Nasrabadi
2024	J	`jnl`	Decomposed Distribution Matching in Dataset Condensation. CoRR Sahar Rahimi Malakshan, Mohammad Saeed Ebrahimi Saadabadi, Ali Dabouei, Nasser M. Nasrabadi
2024	A*	`conf`	Hyperspherical Classification with Dynamic Label-to-Prototype Assignment. CVPR Mohammad Saeed Ebrahimi Saadabadi, Ali Dabouei, Sahar Rahimi Malakshan, Nasser M. Nasrabadi
2024	J	`jnl`	Hyperspherical Classification with Dynamic Label-to-Prototype Assignment. CoRR Mohammad Saeed Ebrahimi Saadabadi, Ali Dabouei, Sahar Rahimi Malakshan, Nasser M. Nasrabadi
2023	A	`conf`	A Quality Aware Sample-to-Sample Comparison for Face Recognition. WACV Mohammad Saeed Ebrahimi Saadabadi, Sahar Rahimi Malakshan, Ali Zafari, Moktari Mostofa, Nasser M. Nasrabadi
2023	J	`jnl`	A Quality Aware Sample-to-Sample Comparison for Face Recognition. CoRR Mohammad Saeed Ebrahimi Saadabadi, Sahar Rahimi Malakshan, Ali Zafari, Moktari Mostofa, Nasser M. Nasrabadi
2023	B	`conf`	AAFACE: Attribute-Aware Attentional Network for Face Recognition. ICIP Niloufar Alipour Talemi, Hossein Kashiani, Sahar Rahimi Malakshan, Mohammad Saeed Ebrahimi Saadabadi, Nima Najafzadeh, Mohammad Akyash, Nasser M. Nasrabadi
2023	J	`jnl`	AAFACE: Attribute-aware Attentional Network for Face Recognition. CoRR Niloufar Alipour Talemi, Hossein Kashiani, Sahar Rahimi Malakshan, Mohammad Saeed Ebrahimi Saadabadi, Nima Najafzadeh, Mohammad Akyash, Nasser M. Nasrabadi
2023	B	`conf`	CCFace: Classification Consistency for Low-Resolution Face Recognition. IJCB Mohammad Saeed Ebrahimi Saadabadi, Sahar Rahimi Malakshan, Hossein Kashiani, Nasser M. Nasrabadi
2023	J	`jnl`	CCFace: Classification Consistency for Low-Resolution Face Recognition. CoRR Mohammad Saeed Ebrahimi Saadabadi, Sahar Rahimi Malakshan, Hossein Kashiani, Nasser M. Nasrabadi
2023	B	`conf`	Deep Boosting Multi-Modal Ensemble Face Recognition with Sample-Level Weighting. IJCB Sahar Rahimi Malakshan, Mohammad Saeed Ebrahimi Saadabadi, Nima Najafzadeh, Nasser M. Nasrabadi
2023	J	`jnl`	Deep Boosting Multi-Modal Ensemble Face Recognition with Sample-Level Weighting. CoRR Sahar Rahimi Malakshan, Mohammad Saeed Ebrahimi Saadabadi, Nima Najafzadeh, Nasser M. Nasrabadi
2023	—	`conf`	Face Image Quality Vector Assessment for Biometrics Applications. WACV (Workshops) Nima Najafzadeh, Hossein Kashiani, Mohammad Saeed Ebrahimi Saadabadi, Niloufar Alipour Talemi, Sahar Rahimi Malakshan, Nasser M. Nasrabadi
2023	J	`jnl`	Joint Super-Resolution and Head Pose Estimation for Extreme Low-Resolution Faces. IEEE Access Sahar Rahimi Malakshan, Mohammad Saeed Ebrahimi Saadabadi, Moktari Mostofa, Sobhan Soleymani, Nasser M. Nasrabadi
2022	B	`conf`	Information Maximization for Extreme Pose Face Recognition. IJCB Mohammad Saeed Ebrahimi Saadabadi, Sahar Rahimi Malakshan, Sobhan Soleymani, Moktari Mostofa, Nasser M. Nasrabadi
2022	J	`jnl`	Information Maximization for Extreme Pose Face Recognition. CoRR Mohammad Saeed Ebrahimi Saadabadi, Sahar Rahimi Malakshan, Sobhan Soleymani, Moktari Mostofa, Nasser M. Nasrabadi
2022	B	`conf`	Pose Attention-Guided Profile-to-Frontal Face Recognition. IJCB Moktari Mostofa, Mohammad Saeed Ebrahimi Saadabadi, Sahar Rahimi Malakshan, Nasser M. Nasrabadi
2022	J	`jnl`	Pose Attention-Guided Profile-to-Frontal Face Recognition. CoRR Moktari Mostofa, Mohammad Saeed Ebrahimi Saadabadi, Sahar Rahimi Malakshan, Nasser M. Nasrabadi

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.