Peter Schwabe is affiliated with Radboud University in the Netherlands and has a research focus primarily in computer science. Their work encompasses several subfields including artificial intelligence, information systems, computer networks and communications, computer vision and pattern recognition, and signal processing.
Schwabe's contributions span key topics such as cryptographic implementations and security, cryptography and data security, security and verification in computing, chaos-based image and signal encryption, advanced malware detection techniques, security in wireless sensor networks, and cryptography and residue arithmetic.
Their recent publications include:
Frequent co-authors in Schwabe's research include Gilles Barthe, Manuel Barbosa, Benjamin Grégoire, Vincent Laporte, and Tiago Oliveira.
They have published extensively in venues such as IACR Transactions on Cryptographic Hardware and Embedded Systems, IACR Communications in Cryptology, the 2022 IEEE Symposium on Security and Privacy (SP), Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, and HAL (Le Centre pour la Communication Scientifique Directe).
Joppe Bos;Leo Ducas;Eike Kiltz;T Lepoint
Erdem Alkim;Léo Ducas;Thomas Pöppelmann;Peter Schwabe
DJ Daniel Bernstein;N Niels Duif;T Tanja Lange;P Peter Schwabe
Léo Ducas;Eike Kiltz;Tancrède Lepoint;Vadim Lyubashevsky
Daniel J. Bernstein;Daniel J. Bernstein;Daira Hopwood;Andreas Hülsing;Tanja Lange
Daniel J. Bernstein;Tanja Lange;Peter Schwabe
Emilia Käsper;Peter Schwabe
Daniel J. Bernstein;Andreas Hülsing;Stefan Kölbl;Ruben Niederhagen
Daniel J. Bernstein;Tung Chou;Peter Schwabe
Daniel J. Bernstein;Niels Duif;Tanja Lange;Peter Schwabe
Daniel J. Bernstein;Peter Schwabe
Peter Schwabe;Douglas Stebila;Thom Wiggers
Michael Düll;Björn Haase;Gesine Hinterwälder;Michael Hutter
Michael Naehrig;Ruben Niederhagen;Peter Schwabe
Léo Ducas;Tancrède Lepoint;Vadim Lyubashevsky;Peter Schwabe
Daniel J. Bernstein;Peter Schwabe
Daniel J. Bernstein;Stefan Kölbl;Stefan Lucks;Pedro Maat Costa Massolino
Erdem Alkim;Léo Ducas;Thomas Pöppelmann;Peter Schwabe
AT Andreas Hülsing;J Rijneveld;John Schanck;P Peter Schwabe
M. Hutter;P. Schwabe
Ming-Shing Chen;Andreas Hülsing;Joost Rijneveld;Simona Samardjiska
If you think any of the details on this page are incorrect, let us know.
Aspiring computer science students have many flexible options to boost their skills and job prospects through online education. Some choose certificate programs that pay well to gain practical knowledge quickly and stand out in the competitive tech job market. These targeted credentials can be completed fast and often lead to higher-paying entry-level roles.
For those looking to build advanced expertise, exploring the quickest online masters degree programs allows working professionals to climb the career ladder without a long time commitment. Many of the most worthwhile masters degrees are available online, focusing on high-demand areas like artificial intelligence, data science, cybersecurity, and software engineering.
Alternatively, beginners or those changing careers may want to start with associates degrees online, which offer foundational training and a pathway to further education. No matter your background or goals, flexible online learning opens the door to rewarding technology careers.
University of Melbourne
University of Sheffield
Chalmers University of Technology
Slovak Academy of Sciences
Simon Fraser University
Queen's University Belfast
University of Paris-Saclay
University of Aberdeen
Stockholm University
University of North Carolina at Chapel Hill
George Mason University
University of California, Berkeley
Northwest Normal University
TU Dresden
Neeka Health
Centre national de la recherche scientifique, CNRS