Peng Xu, Claudia Eckert, Apostolis Zarras (2021), Falcon: Malware Detection and Categorization with Network Traffic Images, Igor Farkaš, Paolo Masulli, Sebastian Otte, Stefan Wermter (Eds.), In Artificial Neural Networks and Machine Learning Volume 12891 p.117-128.

Abdulqader Mahmoud, Christoph Adelmann, Frederic Vanderveken, Sorin Cotofana, Florin Ciubotaru, Said Hamdioui (2021), Fan-out of 2 Triangle Shape Spin Wave Logic Gates, In 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE) p.948-953.

Felipe Augusto da Silva, Ahmet Cagri Bagbaba, Said Hamdioui, Christian Sauer (2021), Flip Flop Weighting: A technique for estimation of safety metrics in Automotive Designs, In 2021 IEEE 27th International Symposium on On-Line Testing and Robust System Design (IOLTS) p.1-7.

Francisco Gonzalez-Longatt, Jose Luis Rueda, Peter Palensky, Harold R. Chamorro, Vijay K. Sood (2021), Frequency Support Provided by Inverted Based-Generation Using Grid-Forming Controllers: A Comparison During Islanded Operation, In 2021 IEEE Electrical Power and Energy Conference (EPEC) p.113-118.

Cezar Reinbrecht, Abdullah Aljuffri, Said Hamdioui, Mottaqiallah Taouil, Johanna Sepulveda (2021), GRINCH: A Cache Attack against GIFT Lightweight Cipher, In 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE) p.549-554.

Saran Ganesh, Arcadio Perilla , Jose Rueda Torres, Peter Palensky, Aleksandra Lekic, Mart van der Meijden (2021), Generic EMT Model for Real-Time Simulation of Large Disturbances in 2 GW Offshore HVAC-HVDC Renewable Energy Hubs, In Energies Volume 14 p.1-30.

Peng Xu, Youyi Zhang, Claudia Eckert, Apostolis Zarras (2021), HawkEye: Cross-Platform Malware Detection with Representation Learning on Graphs, Igor Farkaš, Paolo Masulli, Sebastian Otte, Stefan Wermter (Eds.), In Artificial Neural Networks and Machine Learning – ICANN 2021 Volume 12893 p.127-138.

Satwik Prabhu Kumble, Dick Epema, Stefanie Roos (2021), How Lightning's Routing Diminishes its Anonymity, In ARES 2021, Association for Computing Machinery (ACM).

Qianqian Zhu, Andy Zaidman, Annibale Panichella (2021), How to Kill Them All: An Exploratory Study on the Impact of Code Observability on Mutation Testing, In Journal of Systems and Software Volume 173 p.1-20.

Mohammad Reza Norouzian, Peng Xu, Claudia Eckert, Apostolis Zarras (2021), Hybroid: Toward Android Malware Detection and Categorization with Program Code and Network Traffic, Joseph K. Liu, Sokratis Katsikas, Weizhi Meng, Willy Susilo, Rolly Intan (Eds.), In Information Security - 24th International Conference, ISC 2021, Proceedings p.259-278.