Deception for Cyber Defence: Challenges and Opportunities. - David Liebowitz; Surya Nepal; Kristen Moore; Cody James Christopher; Salil S. Kanhere; David D. Nguyen; Roelien C. Timmer; Michael Longland; Keerth Rathakumar (TPS-ISA, 2021)

Can pre-trained Transformers be used in detecting complex sensitive sentences? - A Monsanto case study. - Roelien C. Timmer; David Liebowitz; Surya Nepal; Salil S. Kanhere (TPS-ISA, 2021)

TSM: Measuring the Enticement of Honeyfiles with Natural Language Processing. - Roelien C. Timmer; David Liebowitz; Surya Nepal; Salil S. Kanhere (HICSS, 2022)

Building Knowledge Graphs in Heliophysics and Astrophysics. - Fech Scen Khoo; Megan Mark; Roelien C. Timmer; Marcella Scoczynski Ribeiro Martins; Emily Foshee; Kaylin M. Bugbee; Gregory Renard; Anamaria Berea (NLDB, 2023)

NASA Science Mission Directorate Knowledge Graph Discovery. - Roelien C. Timmer; Megan Mark; Fech Scen Khoo; Marcella Scoczynski Ribeiro Martins; Anamaria Berea; Gregory Renard; Kaylin M. Bugbee (WWW (Companion Volume), 2023)

Honeyfile Camouflage: Hiding Fake Files in Plain Sight. - Roelien C. Timmer; David Liebowitz; Surya Nepal; Salil S. Kanhere (WDC@AsiaCCS, 2024)

Quantifying and Optimising the Performance of Cyber Deceptions. - Roelien C. Timmer (2024)

A Position Paper on the Automatic Generation of Machine Learning Leaderboards. - Roelien C. Timmer; Yufang Hou; Stephen Wan 001 (CoRR, 2025)