publications
2025
- ConferenceGenerating Safety-Critical Automotive C-programs using LLMs with Formal VerificationIn Proceedings of The 19th International Conference on Neurosymbolic Learning and Reasoning, 2025
2024
- ConferenceTowards Specification-Driven LLM-Based Generation of Embedded Automotive SoftwareIn International Conference on Bridging the Gap Between AI and Reality (AISoLA), 2024
- ConferenceEnhancing Vulnerable Class Robustness in Adversarial Machine LearningIn 2024 International Joint Conference on Neural Networks (IJCNN), 2024
2023
- ConferenceInvestigating Lipschitz Constants in Neural Ensemble Models to Improve Adversarial RobustnessIn 2023 7th International Conference on System Reliability and Safety (ICSRS), 2023
- ConferenceImproving Neural Network Verification Efficiency Through Perturbation RefinementIn Artificial Neural Networks and Machine Learning – ICANN 2023, 2023
- ConferenceDo Intermediate Feature Coalitions Aid Explainability of Black-Box Models?In Explainable Artificial Intelligence – xAI 2023, 2023
2022
- WorkshopExplainability in Autonomous Pedagogically Structured ScenariosIn Explainable Agency in Artificial Intelligence Workshop, 36th AAAI Conference on Artificial Intelligence (AAAI-22), 2022