APAMCiber
Prevention and Attribution of Cyberthreats against Cybersecurity Stakeholders
Researchers
- González-Manzano, Lorena (PI)
- de Fuentes, José María
- Pastrana, Sergio
- Tapiador, Juan
- Ibanez-Lissen, Luis
- de la Cruz, Alejandro
- Suarez, Manuel
Abstract
This project revolves around three main areas. On the one hand, it aims to propose an observatory of tools and technologies that, either by design or by the use made of them, pose a risk to vulnerable groups. On the other hand, to focus on the “average user” of the internet systems and its associated risks. This user not only does not have technical knowledge high, but also runs certain risks intentionally or by ignorance. Lastly, improving the understanding of the problems of security by the creators of the systems themselves (or possibly by the security analysts).
Publications
Eichler, Cédric; Champeil, Nathan; Anciaux, Nicolas; Bensamoun, Alexandra; de Fuentes, José María; Arcolezi, Héber. Nob-MIAs: Non-biased Membership Inference Attacks Assessment on Large Language Models with Ex-Post Dataset Construction. Proceedings WISE 2024. WISE.
Brahem, Mariem; Watissee, Jasmine; Eichler, Cédric; Boiret, Adrien; Anciaux, Nicolas; de Fuentes, José María. reteLLMe: Design rules for using Large Language Models to Protect the Privacy of Individuals in their Textual Contributions. Proceedings Data Privacy Management (DPM), co-located with ESORICS. Springer.
de la Cruz, Alejandro; Pastrana, Sergio. Understanding Crypter-as-a-service in a popular underground market. Workshop on Attackers and Cyber-Crime Operations (WACCO). Springer.
Ibanez-Lissen, Luis; de Fuentes, José María; González-Manzano, Lorena; Anciaux, Nicolas. Continuous Authentication Leveraging Matrix Profile. 19th International Conference on Availability, Reliability and Security (ARES 2024). Springer.
Ibanez-Lissen, Luis; González-Manzano, Lorena; de Fuentes, José María; Goyanes, Manuel. Poster: On the feasability of predicting fake news appearance. Jornadas Nacionales de Investigación en Ciberseguridad (JNIC 2024). JNIC.
Ibanez-Lissen, Luis; de Fuentes, José María; González-Manzano, Lorena; Goyanes, Manuel. Use of transfer learning for affordable in-context fake review generation. IEEE Transactions of Big Data.
