Luca De Rose is a PhD student at the Department of Computer Science of University of Bari Aldo Moro. He graduated in Cyber Security at the University of Bari Aldo Moro in July 2020 with full marks and honors (110/110 cum laude), discussing a Laurea thesis concerning the use of machine learning techniques for intrusion detection.

Research Interests

Deep Learning, Cyber Security, Intrusion detection, Data Mining and Knowledge Discovery, Big Data Analytics

Luca De Rose
PhD Student
em@il: luca.derose @ uniba.it





Publications Legend

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Book
Conference or Workshop
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Publications


2024

Luca De Rose, Giuseppina Andresini, Annalisa Appice, Donato Malerba:
VINCENT: Cyber-threat detection through vision transformers and knowledge distillation. Comput. Secur. 144: 103926 (2024)
DOI: https://doi.org/10.1016/j.cose.2024.103926


2021

Giuseppina Andresini, Annalisa Appice, Luca De Rose, Donato Malerba:
GAN augmentation to deal with imbalance in imaging-based intrusion detection. Future Gener. Comput. Syst. 123: 108-127 (2021)
DOI: https://doi.org/10.1016/j.future.2021.04.017