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Alejandro Guerra-Manzanares
Assistant Professor, The University of Nottingham Ningbo China
Joined
February 2023
Names
Alejandro Guerra-Manzanares
(Preferred)
,
Alejandro Guerra Manzanares
Emails
****@nyu.edu
(Confirmed)
,
****@taltech.ee
(Confirmed)
,
****@nottingham.edu.cn
(Confirmed)
Personal Links
Homepage
Google Scholar
DBLP
Career & Education History
Assistant Professor
The University of Nottingham Ningbo China
(nottingham.edu.cn)
2024
–
Present
Postdoc
New York University
(nyu.edu)
2022
–
2024
PhD student
Tallinn University of Technology
(taltech.ee)
2018
–
2022
MS student
Tallinn University of Technology
(taltech.ee)
2017
–
2018
Advisors, Relations & Conflicts
Postdoc Advisor
Farah E. Shamout
2022
–
2024
Postdoc Advisor
Michail Maniatakos
2022
–
2024
PhD Advisor
Marcin Luckner
2020
–
2022
PhD Advisor
Hayretdin Bahsi
2018
–
2022
PhD Advisor
Sven Nomm
2018
–
2020
Expertise
machine learning
,
deep learning
,
cybersecurity
,
healthcare
,
intrusion detection
,
malware detection
,
privacy
,
federated learning
2025
–
Present
machine learning
,
deep learning
,
healthcare
,
privacy
2022
–
2024
machine learning
,
deep learning
,
cybersecurity
,
intrusion detection
2018
–
2022
Publications
On the application of active learning for efficient and effective IoT botnet detection
Alejandro Guerra-Manzanares
,
Hayretdin Bahsi
Published: 01 Jan 2023, Last Modified: 12 May 2023
Future Gener. Comput. Syst. 2023
Readers:
Everyone
Leveraging the first line of defense: a study on the evolution and usage of android security permissions for enhanced android malware detection
Alejandro Guerra-Manzanares
,
Hayretdin Bahsi
,
Marcin Luckner
Published: 01 Jan 2023, Last Modified: 12 May 2023
J. Comput. Virol. Hacking Tech. 2023
Readers:
Everyone
Privacy-preserving machine learning for healthcare: open challenges and future perspectives
Alejandro Guerra-Manzanares
,
Leopoldo Julian Lechuga Lopez
,
Michail Maniatakos
,
Farah Shamout
Published: 07 Mar 2023, Last Modified: 04 Apr 2023
ICLR 2023 Workshop TML4H Oral
Readers:
Everyone
Privacy-preserving machine learning for healthcare: open challenges and future perspectives
Alejandro Guerra-Manzanares
,
L. Julian Lechuga Lopez
,
Michail Maniatakos
,
Farah E. Shamout
Published: 01 Jan 2023, Last Modified: 12 May 2023
CoRR 2023
Readers:
Everyone
On the relativity of time: Implications and challenges of data drift on long-term effective android malware detection
Alejandro Guerra-Manzanares
,
Hayretdin Bahsi
Published: 01 Jan 2022, Last Modified: 12 May 2023
Comput. Secur. 2022
Readers:
Everyone
Android malware concept drift using system calls: Detection, characterization and challenges
Alejandro Guerra-Manzanares
,
Marcin Luckner
,
Hayretdin Bahsi
Published: 01 Jan 2022, Last Modified: 12 May 2023
Expert Syst. Appl. 2022
Readers:
Everyone
KronoDroid: Time-based Hybrid-featured Dataset for Effective Android Malware Detection and Characterization
Alejandro Guerra-Manzanares
,
Hayretdin Bahsi
,
Sven Nõmm
Published: 01 Jan 2021, Last Modified: 12 May 2023
Comput. Secur. 2021
Readers:
Everyone
Using MedBIoT Dataset to Build Effective Machine Learning-Based IoT Botnet Detection Systems
Alejandro Guerra-Manzanares
,
Jorge Medina-Galindo
,
Hayretdin Bahsi
,
Sven Nõmm
Published: 01 Jan 2020, Last Modified: 12 May 2023
ICISSP (Revised Selected Papers) 2020
Readers:
Everyone
MedBIoT: Generation of an IoT Botnet Dataset in a Medium-sized IoT Network
Alejandro Guerra-Manzanares
,
Jorge Medina-Galindo
,
Hayretdin Bahsi
,
Sven Nõmm
Published: 01 Jan 2020, Last Modified: 12 May 2023
ICISSP 2020
Readers:
Everyone
Differences in Android Behavior Between Real Device and Emulator: A Malware Detection Perspective
Alejandro Guerra-Manzanares
,
Hayretdin Bahsi
,
Sven Nõmm
Published: 01 Jan 2019, Last Modified: 12 May 2023
IoTSMS 2019
Readers:
Everyone
View all 13 publications
Co-Authors
Farah Shamout
Hayretdin Bahsi
Jorge Medina-Galindo
L. Julian Lechuga Lopez
Leopoldo Julian Lechuga Lopez
Marcin Luckner
Michail Maniatakos
Sven Nomm
Sven Nõmm