As Large Language Models and Foundation Models continue to evolve and integrate into various aspects of our society, understanding their capabilities, limitations, and potential vulnerabilities becomes of the utmost importance. In this paper, we aim at exploring the security and privacy landscape surrounding those models in a systematic way.

Invited Paper: Security and Privacy in Large Language and Foundation Models: A Survey on GenAI Attacks / Italiano, Giuseppe Francesco; Martino, Alessio; Piccardo, Giorgio. - (2025), pp. 1-17. - LECTURE NOTES IN COMPUTER SCIENCE. [10.1007/978-3-031-81404-4_1].

Invited Paper: Security and Privacy in Large Language and Foundation Models: A Survey on GenAI Attacks

Giuseppe Francesco Italiano
Primo
;
2025

Abstract

As Large Language Models and Foundation Models continue to evolve and integrate into various aspects of our society, understanding their capabilities, limitations, and potential vulnerabilities becomes of the utmost importance. In this paper, we aim at exploring the security and privacy landscape surrounding those models in a systematic way.
2025
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
9783031814037
9783031814044
Cyberattacks; Foundation Models; Generative Artificial Intelligence; Large Language Models; Privacy; Security
02 Pubblicazione su volume::02a Capitolo o Articolo
Invited Paper: Security and Privacy in Large Language and Foundation Models: A Survey on GenAI Attacks / Italiano, Giuseppe Francesco; Martino, Alessio; Piccardo, Giorgio. - (2025), pp. 1-17. - LECTURE NOTES IN COMPUTER SCIENCE. [10.1007/978-3-031-81404-4_1].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1755352
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