Gabriele Tiboni

18 papers A* 1A 3Journal 13Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	FoldPath: End-to-End Object-Centric Motion Generation via Modulated Implicit Paths. IROS Paolo Rabino, Gabriele Tiboni, Tatiana Tommasi
2025	J	`jnl`	FoldPath: End-to-End Object-Centric Motion Generation via Modulated Implicit Paths. CoRR Paolo Rabino, Gabriele Tiboni, Tatiana Tommasi
2025	J	`jnl`	MaskPlanner: Learning-Based Object-Centric Motion Generation from 3D Point Clouds. CoRR Gabriele Tiboni, Raffaello Camoriano, Tatiana Tommasi
2025	J	`jnl`	Self-Supervised Multisensory Pretraining for Contact-Rich Robot Reinforcement Learning. CoRR Rickmer Krohn, Vignesh Prasad, Gabriele Tiboni, Georgia Chalvatzaki
2025	J	`jnl`	Shaping Laser Pulses with Reinforcement Learning. CoRR Francesco Capuano, Davorin Peceli, Gabriele Tiboni
2025	J	`jnl`	Sim-is-More: Randomizing HW-NAS with Synthetic Devices. CoRR Francesco Capuano, Gabriele Tiboni, Niccolò Cavagnero, Giuseppe Averta
2024	A*	`conf`	Domain Randomization via Entropy Maximization. ICLR Gabriele Tiboni, Pascal Klink, Jan Peters, Tatiana Tommasi, Carlo D'Eramo, Georgia Chalvatzaki
2023	J	`jnl`	DROPO: Sim-to-real transfer with offline domain randomization. Robotics Auton. Syst. Gabriele Tiboni, Karol Arndt, Ville Kyrki
2023	A	`conf`	Domain Randomization for Robust, Affordable and Effective Closed-Loop Control of Soft Robots. IROS Gabriele Tiboni, Andrea Protopapa, Tatiana Tommasi, Giuseppe Averta
2023	J	`jnl`	Domain Randomization for Robust, Affordable and Effective Closed-loop Control of Soft Robots. CoRR Gabriele Tiboni, Andrea Protopapa, Tatiana Tommasi, Giuseppe Averta
2023	J	`jnl`	Domain Randomization via Entropy Maximization. CoRR Gabriele Tiboni, Pascal Klink, Jan Peters, Tatiana Tommasi, Carlo D'Eramo, Georgia Chalvatzaki
2023	A	`conf`	PaintNet: Unstructured Multi-Path Learning from 3D Point Clouds for Robotic Spray Painting. IROS Gabriele Tiboni, Raffaello Camoriano, Tatiana Tommasi
2023	J	`jnl`	TempoRL: laser pulse temporal shape optimization with Deep Reinforcement Learning. CoRR Francesco Capuano, Davorin Peceli, Gabriele Tiboni, Raffaello Camoriano, Bedric Rus
2022	J	`jnl`	DROPO: Sim-to-Real Transfer with Offline Domain Randomization. CoRR Gabriele Tiboni, Karol Arndt, Ville Kyrki
2022	J	`jnl`	Laser Pulse Duration Optimization With Numerical Methods. CoRR Francesco Capuano, Davorin Peceli, Gabriele Tiboni, Alexandr Spacek, Bedric Rus
2022	—	`conf`	Online vs. Offline Adaptive Domain Randomization Benchmark. HFR Gabriele Tiboni, Karol Arndt, Giuseppe Averta, Ville Kyrki, Tatiana Tommasi
2022	J	`jnl`	Online vs. Offline Adaptive Domain Randomization Benchmark. CoRR Gabriele Tiboni, Karol Arndt, Giuseppe Averta, Ville Kyrki, Tatiana Tommasi
2022	J	`jnl`	PaintNet: 3D Learning of Pose Paths Generators for Robotic Spray Painting. CoRR Gabriele Tiboni, Raffaello Camoriano, Tatiana Tommasi

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.