José Alberto Hernández

Learned Bloom Filters in Adversarial Environments: A Malicious URL Detection Use-Case

Pedro Reviriego, Anshumali Shrivastava, Zhenwei Dai, 2021, 2021 IEEE 22nd International Conference on High Performance Switching and Routing (HPSR).

Android malware detection from Google Play meta-data: Selection of important features

José Alberto Hernández, Antonio Guzmán, Alfonso Muñoz, 2015, 2015 IEEE Conference on Communications and Network Security (CNS).

Analysis and Evaluation of Antivirus Engines in Detecting Android Malware: A Data Analytics Approach

José Alberto Hernández, Antonio Guzmán, Sergio de los Santos, 2018, 2018 European Intelligence and Security Informatics Conference (EISIC).

Is your FPGA bitstream Hardware Trojan-free? Machine learning can provide an answer

José Alberto Hernández, P. Reviriego, M. Ottavi, 2022, J. Syst. Archit..

Assessing the Impact of Membership Inference Attacks on Classical Machine Learning Algorithms

José Alberto Hernández, P. Reviriego, Gonzalo Martínez Ruiz de Arcaute, 2022, 2022 18th International Conference on the Design of Reliable Communication Networks (DRCN).

Android Malware Characterization using Metadata and Machine Learning Techniques pdf

José Alberto Hernández, Antonio Guzmán, Alfonso Muñoz, 2017, Secur. Commun. Networks.

Salary Prediction in the IT Job Market with Few High-Dimensional Samples: A Spanish Case Study

Roberto Battiti, José Alberto Hernández, Andrea Mariello, 2018, Int. J. Comput. Intell. Syst..

Applications of Machine Learning Techniques for What-if Analysis and Network Overload Detection

José Alberto Hernández, I. Martín, Pablo Camarillo, 2022, 2022 18th International Conference on the Design of Reliable Communication Networks (DRCN).

On labeling Android malware signatures using minhashing and further classification with Structural Equation Models pdf

José Alberto Hernández, Sergio de los Santos, Ignacio Martín, 2017, ArXiv.

CloneSpot: Fast detection of Android repackages

José Alberto Hernández, Ignacio Martín, José Alberto Hernández, 2019, Future Gener. Comput. Syst..

2019 21st International Conference on Transparent Optical Networks (ICTON)

Thomas F. Krauss, Daryl M. Beggs, Tobias Kampfrath, 2019 .

Optimizing Learned Bloom Filters: How Much Should Be Learned?

José Alberto Hernández, Anshumali Shrivastava, P. Reviriego, 2022, IEEE Embedded Systems Letters.

Combining Generative Artificial Intelligence (AI) and the Internet: Heading towards Evolution or Degradation?

José Alberto Hernández, P. Reviriego, Marc Juárez, 2023, ArXiv.