Fabrizio Ventola

16 papers A* 1A 2B 1Journal 8Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Deep probabilistic circuits for efficient uncertainty handling in learning systems. Autom. Fabrizio Ventola
2025	—	`conf`	Hyperparameter Optimization via Interacting with Probabilistic Circuits. AutoML Jonas Seng, Fabrizio Ventola, Zhongjie Yu, Kristian Kersting
2025	J	`jnl`	Hyperparameter Optimization via Interacting with Probabilistic Circuits. CoRR Jonas Seng, Fabrizio Ventola, Zhongjie Yu, Kristian Kersting
2024	—	`conf`	Bi-Level One-Shot Architecture Search for Probabilistic Time Series Forecasting. AutoML Jonas Seng, Fabian Kalter, Zhongjie Yu, Fabrizio Ventola, Kristian Kersting
2023	J	`jnl`	Probabilistic Circuits That Know What They Don't Know. CoRR Fabrizio Ventola, Steven Braun, Zhongjie Yu, Martin Mundt, Kristian Kersting
2023	A	`conf`	Probabilistic circuits that know what they don't know. UAI Fabrizio Ventola, Steven Braun, Zhongjie Yu, Martin Mundt, Kristian Kersting
2022	A	`conf`	Predictive Whittle networks for time series. UAI Zhongjie Yu, Fabrizio Ventola, Nils Thoma, Devendra Singh Dhami, Martin Mundt, Kristian Kersting
2022	J	`jnl`	User-Level Label Leakage from Gradients in Federated Learning. Proc. Priv. Enhancing Technol. Aidmar Wainakh, Fabrizio Ventola, Till Müßig, Jens Keim, Carlos Garcia Cordero, Ephraim Zimmer, Tim Grube, Kristian Kersting, Max Mühlhäuser
2021	J	`jnl`	DAFNe: A One-Stage Anchor-Free Deep Model for Oriented Object Detection. CoRR Steven Lang, Fabrizio Ventola, Kristian Kersting
2021	—	`conf`	Elevating Perceptual Sample Quality in PCs through Differentiable Sampling. Pre-Registration Workshop @ NeurIPS Steven Lang, Martin Mundt, Fabrizio Ventola, Robert Peharz, Kristian Kersting
2021	B	`conf`	Generative Clausal Networks: Relational Decision Trees as Probabilistic Circuits. ILP Fabrizio Ventola, Devendra Singh Dhami, Kristian Kersting
2021	J	`jnl`	RECOWNs: Probabilistic Circuits for Trustworthy Time Series Forecasting. CoRR Nils Thoma, Zhongjie Yu, Fabrizio Ventola, Kristian Kersting
2021	J	`jnl`	User Label Leakage from Gradients in Federated Learning. CoRR Aidmar Wainakh, Fabrizio Ventola, Till Müßig, Jens Keim, Carlos Garcia Cordero, Ephraim Zimmer, Tim Grube, Kristian Kersting, Max Mühlhäuser
2021	A*	`conf`	Whittle Networks: A Deep Likelihood Model for Time Series. ICML Zhongjie Yu, Fabrizio Ventola, Kristian Kersting
2020	—	`conf`	Residual Sum-Product Networks. PGM Fabrizio Ventola, Karl Stelzner, Alejandro Molina, Kristian Kersting
2019	J	`jnl`	Random Sum-Product Forests with Residual Links. CoRR Fabrizio Ventola, Karl Stelzner, Alejandro Molina, Kristian Kersting

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.