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20232026
most citedTowards Assuring EU AI Act Compliance and Adversarial Robustness of LLMs

1 citations · 2 across the 8 of their papers we have counts for

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cs.CR2024★ 1 cited

Towards Assuring EU AI Act Compliance and Adversarial Robustness of LLMs

Tomas Bueno Momcilovic, Beat Buesser, Giulio Zizzo +2

Large language models are prone to misuse and vulnerable to security threats, raising significant safety and security concerns. The European Union's Artificial Intelligence Act see…

cs.CR2024

Developing Assurance Cases for Adversarial Robustness and Regulatory Compliance in LLMs

Tomas Bueno Momcilovic, Dian Balta, Beat Buesser +2

This paper presents an approach to developing assurance cases for adversarial robustness and regulatory compliance in large language models (LLMs). Focusing on both natural and cod…