Adjustably encrypted in-memory column-store. - Florian Kerschbaum; Patrick Grofig; Isabelle Hang; Martin Härterich; Mathias Kohler; Andreas Schaad; Axel Schröpfer; Walter Tighzert (CCS, 2013)

Optimal Re-encryption Strategy for Joins in Encrypted Databases. - Florian Kerschbaum; Martin Härterich; Patrick Grofig; Mathias Kohler; Andreas Schaad; Axel Schröpfer; Walter Tighzert (DBSec, 2013)

An Encrypted In-Memory Column-Store: The Onion Selection Problem. - Florian Kerschbaum; Martin Härterich; Mathias Kohler; Isabelle Hang; Andreas Schaad; Axel Schröpfer; Walter Tighzert (ICISS, 2013)

Privacy by Encrypted Databases. - Patrick Grofig; Isabelle Hang; Martin Härterich; Florian Kerschbaum; Mathias Kohler; Andreas Schaad; Axel Schröpfer; Walter Tighzert (APF, 2014)

Experiences and observations on the industrial implementation of a system to search over outsourced encrypted data. - Patrick Grofig; Martin Härterich; Isabelle Hang; Florian Kerschbaum; Mathias Kohler; Andreas Schaad; Axel Schröpfer; Walter Tighzert (Sicherheit, 2014)

Searchable Encryption to Reduce Encryption Degradation in Adjustably Encrypted Databases. - Florian Kerschbaum; Martin Härterich (DBSec, 2017)

Towards an Automatic Generation of Low-Interaction Web Application Honeypots. - Marius Musch; Martin Härterich; Martin Johns (ARES, 2018)

Reconstruction and Membership Inference Attacks against Generative Models. - Benjamin Hilprecht; Martin Härterich; Daniel Bernau (CoRR, 2019)

Monte Carlo and Reconstruction Membership Inference Attacks against Generative Models. - Benjamin Hilprecht; Martin Härterich; Daniel Bernau (Proc. Priv. Enhancing Technol., 2019)

Explaining Graph Neural Networks for Vulnerability Discovery. - Tom Ganz; Martin Härterich; Alexander Warnecke; Konrad Rieck (AISec@CCS, 2021)

PAVUDI: Patch-based Vulnerability Discovery using Machine Learning. - Tom Ganz; Erik Imgrund; Martin Härterich; Konrad Rieck (ACSAC, 2023)

Broken Promises: Measuring Confounding Effects in Learning-based Vulnerability Discovery. - Erik Imgrund; Tom Ganz; Martin Härterich; Lukas Pirch; Niklas Risse; Konrad Rieck (AISec@CCS, 2023)

Detecting Backdoors in Collaboration Graphs of Software Repositories. - Tom Ganz; Inaam Ashraf; Martin Härterich; Konrad Rieck (CODASPY, 2023)

CodeGraphSMOTE - Data Augmentation for Vulnerability Discovery. - Tom Ganz; Erik Imgrund; Martin Härterich; Konrad Rieck (DBSec, 2023)

Hunting for Truth: Analyzing Explanation Methods in Learning-based Vulnerability Discovery. - Tom Ganz; Philipp Rall; Martin Härterich; Konrad Rieck (EuroS&P, 2023)