most citedStrategic commitments shape collective cybersecurity under AI inequality

1 citations · 1 across the 9 of their papers we have counts for

collaborators

9 papers

cs.AI2026

Co-evolution of social reward and punishment under institutional interventions

Van An Nguyen, Vuong Khang Huynh, Hoai Thuong Nguyen +14

We investigate how peer and institutional incentives jointly shape the evolution of cooperation, social welfare, and enforcement efficiency in social dilemmas. In a Prisoners Dilem…

cs.GT2026

Network Reciprocity Shapes Evolutionary Cybersecurity Dynamics

Adeela Bashir, Zia Ush Shamszaman, Zhao Song +1

AI-assisted cybersecurity systems are characterised by continuous adaptation between attackers and defenders, making evolutionary game theory a natural framework for studying their…

cs.AI2026★ 1 cited

Strategic commitments shape collective cybersecurity under AI inequality

Adeela Bashir, Zia Ush Shamszaman, Zhao Song +2

The growing integration of AI into cybersecurity is reshaping the balance between attackers and defenders. When access to advanced AI-enabled defence tools is uneven, resource-limi…

cs.AI2026

Trust or Check? Understanding the (Evolutionary) Dynamics of User Trust in AI Systems

Adeela Bashir, Zhao Song, Ndidi Bianca Ogbo +21

As the capabilities and adoption of Artificial Intelligence (AI) systems grow, trust in these AI systems is an increasingly urgent concern. Much research has focused on models of A…

cs.CR2025

Many-to-One Adversarial Consensus: Exposing Multi-Agent Collusion Risks in AI-Based Healthcare

Adeela Bashir, The Anh han, Zia Ush Shamszaman

The integration of large language models (LLMs) into healthcare IoT systems promises faster decisions and improved medical support. LLMs are also deployed as multi-agent teams to a…

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.GT2025

Co-evolutionary Dynamics of Attack and Defence in Cybersecurity

Adeela Bashir, Zia Ush Shamszaman, Zhao Song +1

In the evolving digital landscape, it is crucial to study the dynamics of cyberattacks and defences. This study uses an Evolutionary Game Theory (EGT) framework to investigate the…

cs.AI2025

Do LLMs trust AI regulation? Emerging behaviour of game-theoretic LLM agents

Alessio Buscemi, Daniele Proverbio, Paolo Bova +15

There is general agreement that fostering trust and cooperation within the AI development ecosystem is essential to promote the adoption of trustworthy AI systems. By embedding Lar…

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…