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ORCIDArtificial Intelligence and Cybersecurity, 2023
- Tuomo Sipola, Tero Kokkonen, Mika Karjalainen:
Artificial Intelligence and Cybersecurity: Theory and Applications. Springer International Publishing 2023, ISBN 978-3-031-15029-6 - Petri Vähäkainu, Martti Lehto
:
Use of Artificial Intelligence in a Cybersecurity Environment. 3-27 - Martin Lundgren, Ali Padyab:
A Review of Cyber Threat (Artificial) Intelligence in Security Management. 29-45 - Douglas L. Van Bossuyt, Nikolaos Papakonstantinou, Britta Hale, Jarno Salonen, Bryan O'Halloran:
Model Based Resilience Engineering for Design and Assessment of Mission Critical Systems Containing Artificial Intelligence Components. 47-66 - Stefan Varga, Teodor Sommestad, Joel Brynielsson:
Automation of Cybersecurity Work. 67-101 - Razvan Beuran, Zhenguo Hu, Youmeizi Zeng, Yasuo Tan:
Artificial Intelligence for Cybersecurity Education and Training. 103-123 - Hannu Turtiainen, Andrei Costin, Alex Polyakov, Timo Hämäläinen:
Offensive Machine Learning Methods and the Cyber Kill Chain. 125-145 - Hannu Turtiainen, Andrei Costin, Timo Hämäläinen:
Defensive Machine Learning Methods and the Cyber Defence Chain. 147-163 - Minna Kilpala, Tommi Kärkkäinen, Timo Hämäläinen:
Differential Privacy: An Umbrella Review. 167-183 - Kirsi Helkala, James Cook, George Lucas, Frank Pasquale, Gregory M. Reichberg, Henrik Syse:
AI in Cyber Operations: Ethical and Legal Considerations for End-Users. 185-206 - Stuart Millar, Niall McLaughlin, Jesús Martínez del Rincón, Paul Miller:
Android Malware Detection Using Deep Learning. 209-246 - Zhechen Zhu, Asoke K. Nandi:
Artificial Intelligence Enabled Radio Signal Intelligence. 247-278 - Dvir Ben Or, Michael Kolomenkin, Tanya Osokin, Gil Shabat, Hanan Shteingart:
Deep Learning Quantile Regression for Robustness, Confidence and Planning. 279-289 - Tuomo Sipola, Tero Kokkonen, Mika Karjalainen:
Model Fooling Threats Against Medical Imaging. 291-301
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