Larissa Schmid

25 papers A* 1A 3B 1C 1Journal 13Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Software Supply Chain Smells: Lightweight Analysis for Secure Dependency Management. CoRR Larissa Schmid, Diogo Gaspar, Raphina Liu, Sofia Bobadilla, Benoit Baudry, Martin Monperrus
2026	J	`jnl`	Why do women pursue a Ph.D. in Computer Science? J. Syst. Softw. Erika Ábrahám, Miguel Goulão, Milena Vujosevic-Janicic, Sarah Jane Delany, Amal Mersni, Oleksandra Yeremenko, Ozge Buyukdagli, Karima Boudaoud, Caroline Oehlhorn, Ute Schmid, Christina Büsing, Helen Bolke-Hermanns, Kaja Köhnle, Matilde Pato, Deniz Sunar Cerci, Larissa Schmid
2025	J	`jnl`	Evaluating Software Plagiarism Detection in the Age of AI: Automated Obfuscation and Lessons for Academic Integrity. CoRR Timur Saglam, Larissa Schmid
2025	C	`conf`	JPlag: Detecting Obfuscated Software Plagiarism using Token Normalization Graphs. Software Engineering Larissa Schmid, Sebastian Hahner, Timur Saglam
2025	J	`jnl`	Maven-Lockfile: High Integrity Rebuild of Past Java Releases. CoRR Larissa Schmid, Elias Lundell, Yogya Gamage, Benoit Baudry, Martin Monperrus
2025	—	`conf`	Mitigating Obfuscation Attacks on Software Plagiarism Detectors via Subsequence Merging. CSEE&T Timur Saglam, Nils Niehues, Sebastian Hahner, Larissa Schmid
2025	J	`jnl`	Same Same But Different: Preventing Refactoring Attacks on Software Plagiarism Detection. CoRR Robin Maisch, Larissa Schmid, Timur Saglam, Nils Niehues
2025	A	`conf`	SeBS-Flow: Benchmarking Serverless Cloud Function Workflows. EuroSys Larissa Schmid, Marcin Copik, Alexandru Calotoiu, Laurin Brandner, Anne Koziolek, Torsten Hoefler
2025	J	`jnl`	Software Architecture Meets LLMs: A Systematic Literature Review. CoRR Larissa Schmid, Tobias Hey, Martin Armbruster, Sophie Corallo, Dominik Fuchß, Jan Keim, Haoyu Liu, Anne Koziolek
2025	J	`jnl`	Surrogate Modeling for Scalable Evaluation of Distributed Computing Systems for HEP Applications. CoRR Larissa Schmid, Maximilian Horzela, Valerii Zhyla, Manuel Giffels, Günter Quast, Anne Koziolek
2025	J	`jnl`	Why do women pursue a PhD in Computer Science? CoRR Erika Ábrahám, Miguel Goulão, Milena Vujosevic-Janicic, Sarah Jane Delany, Amal Mersni, Oleksandra Yeremenko, Ozge Buyukdagli, Karima Boudaoud, Caroline Oehlhorn, Ute Schmid, Christina Büsing, Helen Bolke-Hermanns, Kaja Köhnle, Matilde Pato, Deniz Sunar Cerci, Larissa Schmid
2024	—	`conf`	Automated Detection of AI-Obfuscated Plagiarism in Modeling Assignments. SEET@ICSE Timur Saglam, Sebastian Hahner, Larissa Schmid, Erik Burger
2024	J	`jnl`	Automatic Performance Modeling of Configurable Scientific Software. Softwaretechnik-Trends Larissa Schmid
2024	—	`conf`	Cost-Efficient Construction of Performance Models. PERMAVOST@HPDC Larissa Schmid, Timur Saglam, Michael Selzer, Anne Koziolek
2024	A*	`conf`	Detecting Automatic Software Plagiarism via Token Sequence Normalization. ICSE Timur Saglam, Moritz Brödel, Larissa Schmid, Sebastian Hahner
2024	B	`conf`	Modeling and Analyzing Zero Trust Architectures Regarding Performance and Security. ECSA Nicolas Boltz, Larissa Schmid, Bahareh Taghavi, Christopher Gerking, Robert Heinrich
2024	—	`conf`	Obfuscation-Resilient Software Plagiarism Detection with JPlag. ICSE Companion Timur Saglam, Sebastian Hahner, Larissa Schmid, Erik Burger
2024	J	`jnl`	SeBS-Flow: Benchmarking Serverless Cloud Function Workflows. CoRR Larissa Schmid, Marcin Copik, Alexandru Calotoiu, Laurin Brandner, Anne Koziolek, Torsten Hoefler
2024	A	`conf`	Software Resource Disaggregation for HPC with Serverless Computing. IPDPS Marcin Copik, Marcin Chrapek, Larissa Schmid, Alexandru Calotoiu, Torsten Hoefler
2024	J	`jnl`	Software Resource Disaggregation for HPC with Serverless Computing. CoRR Marcin Copik, Marcin Chrapek, Larissa Schmid, Alexandru Calotoiu, Torsten Hoefler
2023	J	`jnl`	Continuing to Catch Up with State of the Art Continuous Integration Pipelines in Palladio - The Experience Report Strikes Back. Softwaretechnik-Trends Lucas Domingo Alber, Nicolas Boltz, Larissa Schmid
2023	—	`conf`	How Students Plagiarize Modeling Assignments. MoDELS (Companion) Timur Saglam, Larissa Schmid, Sebastian Hahner, Erik Burger
2022	A	`conf`	Performance-detective: automatic deduction of cheap and accurate performance models. ICS Larissa Schmid, Marcin Copik, Alexandru Calotoiu, Dominik Werle, Andreas Reiter, Michael Selzer, Anne Koziolek, Torsten Hoefler
2021	—	`conf`	Toward Awareness Creation of Common Challenges Women are Facing in Academia: A Study from a German Perspective. ECSA (Tracks and Workshops) Sophie Corallo, Manar Mazkatli, Martina Rapp, Hamideh Hajiabadi, Angelika Kaplan, Romina Kühn, Larissa Schmid, Snigdha Singh
2020	J	`jnl`	Performance Modelling of Message-Oriented Middleware with priority queues. Softwaretechnik-Trends Snigdha Singh, Larissa Schmid, Anne Koziolek

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.