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researcher

Alessandro Di Stefano

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1

Across the 1 of 3 papers where every author was matched, so the position is known.

fields
  • cs.AI2
  • cs.CR1
ORCID 0000-0003-4905-3309

identity via Semantic Scholar / OpenAlex

most citedCan LLMs effectively provide game-theoretic-based scenarios for cybersecurity?

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

cs.AI2025

Can Media Act as a Soft Regulator of Safe AI Development? A Game Theoretical Analysis

Henrique Correia da Fonseca, António Fernandes, Zhao Song +15

When developers of artificial intelligence (AI) products need to decide between profit and safety for the users, they likely choose profit. Untrustworthy AI technology must come pa…

cs.CR2025★ 1 cited

Can LLMs effectively provide game-theoretic-based scenarios for cybersecurity?

Daniele Proverbio, Alessio Buscemi, Alessandro Di Stefano +3

Game theory has long served as a foundational tool in cybersecurity to test, predict, and design strategic interactions between attackers and defenders. The recent advent of Large…

cs.AI2025

Media and responsible AI governance: a game-theoretic and LLM analysis

Nataliya Balabanova, Adeela Bashir, Paolo Bova +15

This paper investigates the complex interplay between AI developers, regulators, users, and the media in fostering trustworthy AI systems. Using evolutionary game theory and large…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.