Sabine Rieder

11 papers B 3Journal 5Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	Hidden-Layer Monitoring for Out-of-Distribution Localization in Image Segmentation. RV Jan Kretínský, Sabine Rieder, Gesina Schwalbe, Youssef Shoeb
2024	—	`conf`	A Literature Review on Verification and Abstraction of Neural Networks Within the Formal Methods Community. Principles of Verification (3) Sudeep Kanav, Jan Kretínský, Sabine Rieder
2024	J	`jnl`	A Systematic Review of Edge Case Detection in Automated Driving: Methods, Challenges and Future Directions. CoRR Saeed Rahmani, Sabine Rieder, Erwin de Gelder, Marcel Sonntag, Jorge Lorente Mallada, Sytze Kalisvaart, Vahid Hashemi, Simeon C. Calvert
2024	B	`conf`	Gaussian-Based and Outside-the-Box Runtime Monitoring Join Forces. RV Vahid Hashemi, Jan Kretínský, Sabine Rieder, Torsten Schön, Jan Vorhoff
2024	J	`jnl`	Gaussian-Based and Outside-the-Box Runtime Monitoring Join Forces. CoRR Vahid Hashemi, Jan Kretínský, Sabine Rieder, Torsten Schön, Jan Vorhoff
2024	—	`conf`	Monitizer: Automating Design and Evaluation of Neural Network Monitors. CAV (2) Muqsit Azeem, Marta Grobelna, Sudeep Kanav, Jan Kretínský, Stefanie Mohr, Sabine Rieder
2024	J	`jnl`	Monitizer: Automating Design and Evaluation of Neural Network Monitors. CoRR Muqsit Azeem, Marta Grobelna, Sudeep Kanav, Jan Kretínský, Stefanie Mohr, Sabine Rieder
2023	—	`conf`	Guessing Winning Policies in LTL Synthesis by Semantic Learning. CAV (1) Jan Kretínský, Tobias Meggendorfer, Maximilian Prokop, Sabine Rieder
2023	J	`jnl`	Guessing Winning Policies in LTL Synthesis by Semantic Learning. CoRR Jan Kretínský, Tobias Meggendorfer, Maximilian Prokop, Sabine Rieder
2023	B	`conf`	Runtime Monitoring for Out-of-Distribution Detection in Object Detection Neural Networks. FM Vahid Hashemi, Jan Kretínský, Sabine Rieder, Jessica Schmidt
2022	J	`jnl`	Runtime Monitoring for Out-of-Distribution Detection in Object Detection Neural Networks. CoRR Vahid Hashemi, Jan Kretínský, Sabine Rieder, Jessica Schmidt

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.

In 2025, he co-authored Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja, published at CheckMATE. The paper evaluates the effectiveness of obfuscation techniques and their impact on source-level static analysis and binary-level decompilation.

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.