Sahar Sadrizadeh

18 papers Misc 2Journal 11Unranked 5

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	A Classification-Guided Approach for Adversarial Attacks against Neural Machine Translation. EACL (1) Sahar Sadrizadeh, Ljiljana Dolamic, Pascal Frossard
2024	J	`jnl`	NMT-Obfuscator Attack: Ignore a sentence in translation with only one word. CoRR Sahar Sadrizadeh, César Descalzo, Ljiljana Dolamic, Pascal Frossard
2023	J	`jnl`	A Classification-Guided Approach for Adversarial Attacks against Neural Machine Translation. CoRR Sahar Sadrizadeh, Ljiljana Dolamic, Pascal Frossard
2023	—	`conf`	A Relaxed Optimization Approach for Adversarial Attacks Against Neural Machine Translation Models. EUSIPCO Sahar Sadrizadeh, Clément Barbier, Ljiljana Dolamic, Pascal Frossard
2023	J	`jnl`	A Relaxed Optimization Approach for Adversarial Attacks against Neural Machine Translation Models. CoRR Sahar Sadrizadeh, Clément Barbier, Ljiljana Dolamic, Pascal Frossard
2023	Misc	`conf`	Targeted Adversarial Attacks Against Neural Machine Translation. ICASSP Sahar Sadrizadeh, AmirHossein Dabiri Aghdam, Ljiljana Dolamic, Pascal Frossard
2023	J	`jnl`	Targeted Adversarial Attacks against Neural Machine Translation. CoRR Sahar Sadrizadeh, AmirHossein Dabiri Aghdam, Ljiljana Dolamic, Pascal Frossard
2023	J	`jnl`	TransFool: An Adversarial Attack against Neural Machine Translation Models. CoRR Sahar Sadrizadeh, Ljiljana Dolamic, Pascal Frossard
2023	J	`jnl`	TransFool: An Adversarial Attack against Neural Machine Translation Models. Trans. Mach. Learn. Res. Sahar Sadrizadeh, Ljiljana Dolamic, Pascal Frossard
2022	Misc	`conf`	Block-Sparse Adversarial Attack to Fool Transformer-Based Text Classifiers. ICASSP Sahar Sadrizadeh, Ljiljana Dolamic, Pascal Frossard
2022	J	`jnl`	Block-Sparse Adversarial Attack to Fool Transformer-Based Text Classifiers. CoRR Sahar Sadrizadeh, Ljiljana Dolamic, Pascal Frossard
2022	J	`jnl`	Impulsive noise removal via a blind CNN enhanced by an iterative post-processing. Signal Process. Sahar Sadrizadeh, Hatef Otroshi-Shahreza, Farokh Marvasti
2021	J	`jnl`	A Fast Iterative Method for Removing Impulsive Noise From Sparse Signals. IEEE Trans. Circuits Syst. Video Technol. Sahar Sadrizadeh, Nematollah Zarmehi, Ehsan Asadi Kangarshahi, Hamidreza Abin, Farokh Marvasti
2021	—	`conf`	Removing Impulsive Noise from Color Images via a Residual Deep Neural Network Enhanced by Post-Processing. EUSIPCO Sahar Sadrizadeh, Hatef Otroshi-Shahreza, Farokh Marvasti
2020	—	`conf`	Impulsive Noise Removal from Gray-Scale Video Sequences via Adaptive Thresholding. IST Sahar Sadrizadeh, Farokh Marvasti
2019	—	`conf`	A Fast Iterative Method for Removing Sparse Noise from Sparse Signals. GlobalSIP Sahar Sadrizadeh, Nematollah Zarmehi, Farokh Marvasti, Saeed Gazor
2019	J	`jnl`	A Fast Iterative Method for Removing Sparse Noise from Sparse Signals. CoRR Sahar Sadrizadeh, Ehsan Asadi, Farokh Marvasti
2017	J	`jnl`	Simultaneous Sparse Approximation Using an Iterative Method with Adaptive Thresholding. CoRR Shahrzad Kiani, Sahar Sadrizadeh, Mahdi Boloursaz, Farokh Marvasti

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.