Hunting Observable Objects for Indication of Compromise. - Arnold Sykosch; Marc Ohm; Michael Meier 001 (ARES, 2018)

Automated Pattern Inference Based on Repeatedly Observed Malware Artifacts. - Christian Doll; Arnold Sykosch; Marc Ohm; Michael Meier 001 (ARES, 2019)

Towards detection of software supply chain attacks by forensic artifacts. - Marc Ohm; Arnold Sykosch; Michael Meier 001 (ARES, 2020)

An investigation on the feasibility of the bluetooth frequency hopping mechanism for the use as a covert channel technique. - Daniel Vogel 004; Ulugbek Akhmedjanov; Marc Ohm; Michael Meier 001 (ARES, 2020)

Backstabber's Knife Collection: A Review of Open Source Software Supply Chain Attacks. - Marc Ohm; Henrik Plate; Arnold Sykosch; Michael Meier 001 (DIMVA, 2020)

If You've Seen One, You've Seen Them All: Leveraging AST Clustering Using MCL to Mimic Expertise to Detect Software Supply Chain Attacks. - Marc Ohm; Lukas Kempf; Felix Boes; Michael Meier 001 (CoRR, 2020)

On the Feasibility of Supervised Machine Learning for the Detection of Malicious Software Packages. - Marc Ohm; Felix Boes; Christian Bungartz; Michael Meier 001 (ARES, 2022)

SoK: Practical Detection of Software Supply Chain Attacks. - Marc Ohm; Charlene Stuke (ARES, 2023)

Power Consumption of Common Symmetric Encryption Algorithms on Low-Cost Microchips. - Marc Ohm; Lars Taufenbach; Karsten Weber; Timo Pohl (EnviroInfo, 2023)

Measuring Resource Efficiency of LATEX Paper Templates. - Timo Pohl; Marc Ohm (EnviroInfo, 2023)

You Can Run But You Can't Hide: Runtime Protection Against Malicious Package Updates For Node.js. - Marc Ohm; Timo Pohl; Felix Boes (CoRR, 2023)

Assessing the Impact of Large Language Models on Cybersecurity Education: A Study of ChatGPT's Influence on Student Performance. - Marc Ohm; Christian Bungartz; Felix Boes; Michael Meier 001 (ARES, 2024)

Towards Robust, Explainable, and Privacy-Friendly Sybil Detection. - Christian Bungartz; Felix Boes; Michael Meier 001; Marc Ohm (AISec@CCS, 2024)

Using Pre-trained Transformers to Detect Malicious Source Code Within JavaScript Packages. - Marc Ohm; Anja Götz (INFORMATIK, 2024)

You Can Run But You Can't Hide: Runtime Protection Against Malicious Package Updates For Node.js. - Timo Pohl; Marc Ohm; Felix Boes; Michael Meier 001 (Sicherheit, 2024)

An Exploratory Study on Teaching Software Supply Chain Security Concepts to High School Students. - Marc Ohm; Yannik Börgener; Timo Pohl (ARES (EU Projects Symposium Workshops 2), 2025)

SoK: Towards Reproducibility for Software Packages in Scripting Language Ecosystems. - Timo Pohl; Pavel Novák; Marc Ohm; Michael Meier 001 (ARES (2), 2025)

Exploring the Susceptibility to Fraud of Monetary Incentive Mechanisms for Strengthening FOSS Projects. - Ben Swierzy; Timo Pohl; Marc Ohm; Michael Meier 001 (ARES (2), 2025)

Zufriedenheit und Herausforderungen im akademischen Mittelbau. - Marc Ohm; Clarissa Sabrina Arlinghaus; Silvan Mertes (Inform. Spektrum, 2025)