collaborators

6 papers

cs.SE2026

An Agentic RAG and Evaluation Framework for Assurance Case Generation: Industrial Use Case for the EU Cyber Resilience Act Compliance

Fariz Ikhwantri, Iker Lasa Ojanguren, Dusica Marijan +3

Complying with the EU Cyber Resilience Act (CRA) is a resource-intensive challenge for SMEs due to the complexity of cybersecurity conformity assessment. Yet, it is essential for d…

cs.LG2026

Disentangling Homophily and Rarity: Explaining Failure in Graph Neural Networks

Preben M. Ness, Fariz Ikhwantri, Dusica Marijan

Are heterophilic nodes in a graph harder to classify because they are heterophilic or because they are rare? Some existing work frames classification of such nodes as a subgroup ge…

cs.SE2026

Evaluating Assurance Cases as Text-Attributed Graphs for Structure and Provenance Analysis

Fariz Ikhwantri, Dusica Marijan

An assurance case is a structured argument document that justifies claims about a system's requirements or properties, which are supported by evidence. In regulated domains, these…

cs.CL2026

Cross-Domain Data Selection and Augmentation for Automatic Compliance Detection

Fariz Ikhwantri, Dusica Marijan

Automating the detection of regulatory compliance remains a challenging task due to the complexity and variability of legal texts. Models trained on one regulation often fail to ge…

cs.CL2025

Explainable Compliance Detection with Multi-Hop Natural Language Inference on Assurance Case Structure

Fariz Ikhwantri, Dusica Marijan

Ensuring complex systems meet regulations typically requires checking the validity of assurance cases through a claim-argument-evidence framework. Some challenges in this process i…

cs.CL2025

WorldCuisines: A Massive-Scale Benchmark for Multilingual and Multicultural Visual Question Answering on Global Cuisines

Genta Indra Winata, Frederikus Hudi, Patrick Amadeus Irawan +48

Vision Language Models (VLMs) often struggle with culture-specific knowledge, particularly in languages other than English and in underrepresented cultural contexts. To evaluate th…