Emanuele Aiello

14 papers A* 4Journal 8Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	DreamCache: Finetuning-Free Lightweight Personalized Image Generation via Feature Caching. CVPR Emanuele Aiello, Umberto Michieli, Diego Valsesia, Mete Ozay, Enrico Magli
2025	—	`—`	Generative and Multimodal Learning for Vision and Language. Emanuele Aiello
2024	J	`jnl`	DreamCache: Finetuning-Free Lightweight Personalized Image Generation via Feature Caching. CoRR Emanuele Aiello, Umberto Michieli, Diego Valsesia, Mete Ozay, Enrico Magli
2024	J	`jnl`	Fast Inference in Denoising Diffusion Models via MMD Finetuning. IEEE Access Emanuele Aiello, Diego Valsesia, Enrico Magli
2024	A*	`conf`	Jointly Training Large Autoregressive Multimodal Models. ICLR Emanuele Aiello, Lili Yu, Yixin Nie, Armen Aghajanyan, Barlas Oguz
2024	J	`jnl`	Knowledge Transfer Across Modalities with Natural Language Supervision. CoRR Carlo Alberto Barbano, Luca Molinaro, Emanuele Aiello, Marco Grangetto
2024	A*	`conf`	MotionCraft: Physics-Based Zero-Shot Video Generation. NeurIPS Antonio Montanaro, Luca Savant Aira, Emanuele Aiello, Diego Valsesia, Enrico Magli
2024	J	`jnl`	MotionCraft: Physics-based Zero-Shot Video Generation. CoRR Luca Savant Aira, Antonio Montanaro, Emanuele Aiello, Diego Valsesia, Enrico Magli
2024	J	`jnl`	Synthetic Data Pretraining for Hyperspectral Image Super-Resolution. IEEE Access Emanuele Aiello, Mirko Agarla, Diego Valsesia, Paolo Napoletano, Tiziano Bianchi, Enrico Magli, Raimondo Schettini
2023	J	`jnl`	Fast Inference in Denoising Diffusion Models via MMD Finetuning. CoRR Emanuele Aiello, Diego Valsesia, Enrico Magli
2023	J	`jnl`	Jointly Training Large Autoregressive Multimodal Models. CoRR Emanuele Aiello, Lili Yu, Yixin Nie, Armen Aghajanyan, Barlas Oguz
2022	A*	`conf`	Cross-modal Learning for Image-Guided Point Cloud Shape Completion. NeurIPS Emanuele Aiello, Diego Valsesia, Enrico Magli
2022	J	`jnl`	Cross-modal Learning for Image-Guided Point Cloud Shape Completion. CoRR Emanuele Aiello, Diego Valsesia, Enrico Magli
2019	—	`conf`	A wearable device to assess postural sway. ISCT Valentina Agostini, Emanuele Aiello, Daniele Fortunato, Marco Knaflitz, Laura Gastaldi

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.