Privacy-Preserving Warning Management for an Identity Leakage Warning Network. - Saffija Kasem-Madani; Timo Malderle; Felix Boes; Michael Meier 001 (EICC, 2020)

Credential Intelligence Agency: A Threat Intelligence Approach to Mitigate Identity Theft. - Timo Malderle; Felix Boes; Gina Muuss; Matthias Wübbeling; Michael Meier 001 (ICISSP (Revised Selected Papers), 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)

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)

SoK: Automated Software Testing for TLS Libraries. - Ben Swierzy; Felix Boes; Timo Pohl; Christian Bungartz; 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)

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)

TEEM: A CPU Emulator for Teaching Transient Execution Attacks. - Ben Swierzy; Melina Hoffmann; Felix Boes; Felix Betke; Lennart Hein; Maxim Shevchishin; Jan-Niklas Sohn; Michael Meier 001 (Sicherheit, 2024)