Sana Ayromlou - RankMe

14 papers A* 1Journal 9Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MIDST Challenge at SaTML 2025: Membership Inference over Diffusion-models-based Synthetic Tabular data. CoRR Masoumeh Shafieinejad, Xi He, Mahshid Alinoori, John Taylor Jewell, Sana Ayromlou, Wei Pang, Veronica Chatrath, Garui Sharma, Deval Pandya
2025	J	`jnl`	Adaptive Latent-Space Constraints in Personalized FL. CoRR Sana Ayromlou, David B. Emerson
2025	A*	`conf`	Can Generative Models Improve Self-Supervised Representation Learning? AAAI Sana Ayromlou, Vahid Reza Khazaie, Fereshteh Forghani, Arash Afkanpour
2024	—	`conf`	A Comprehensive View of Personalized Federated Learning on Heterogeneous Clinical Datasets. MLHC Fatemeh Tavakoli, David B. Emerson, Sana Ayromlou, John Taylor Jewell, Amrit Krishnan, Yuchong Zhang, Amol Verma, Fahad Razak
2024	J	`jnl`	CCSI: Continual Class-Specific Impression for Data-free Class Incremental Learning. CoRR Sana Ayromlou, Teresa Tsang, Purang Abolmaesumi, Xiaoxiao Li
2024	J	`jnl`	CCSI: Continual Class-Specific Impression for data-free class incremental learning. Medical Image Anal. Sana Ayromlou, Teresa Tsang, Purang Abolmaesumi, Xiaoxiao Li
2024	J	`jnl`	Can Generative Models Improve Self-Supervised Representation Learning? CoRR Arash Afkanpour, Vahid Reza Khazaie, Sana Ayromlou, Fereshteh Forghani
2024	—	`conf`	Federated Impression for Learning with Distributed Heterogeneous Data. ISIC/iMIMIC/EARTH/DeCaF@MICCAI Atrin Arya, Sana Ayromlou, Armin Saadat, Purang Abolmaesumi, Xiaoxiao Li
2024	J	`jnl`	Federated Impression for Learning with Distributed Heterogeneous Data. CoRR Sana Ayromlou, Atrin Arya, Armin Saadat, Purang Abolmaesumi, Xiaoxiao Li
2023	—	`conf`	Segmenting Cardiac Ultrasound Videos Using Self-Supervised Learning. EMBC Erik Lamoureux, Sana Ayromlou, Seyedeh Neda Ahmadi Amiri, Helge Rhodin
2022	—	`conf`	Class Impression for Data-Free Incremental Learning. MICCAI (4) Sana Ayromlou, Purang Abolmaesumi, Teresa Tsang, Xiaoxiao Li
2022	J	`jnl`	Class Impression for Data-free Incremental Learning. CoRR Sana Ayromlou, Purang Abolmaesumi, Teresa Tsang, Xiaoxiao Li
2021	J	`jnl`	Dementia Severity Classification under Small Sample Size and Weak Supervision in Thick Slice MRI. CoRR Reza Shirkavand, Sana Ayromlou, Soroush Farghadani, Maedeh-sadat Tahaei, Fattane Pourakpour, Bahareh Siahlou, Zeynab Khodakarami, Mohammad H. Rohban, Mansoor Fatehi, Hamid R. Rabiee
2021	J	`jnl`	SVG-Net: An SVG-based Trajectory Prediction Model. CoRR Mohammadhossein Bahari, Vahid Zehtab, Sadegh Khorasani, Sana Ayromlou, Saeed Saadatnejad, Alexandre Alahi

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.