Carmen Frischknecht-Gruber

Projects

• Innovative and Challenging Verification Environments for AI-enabled Autonomous Systems / Team member / ongoing
• Verification and Validation Framework for Safe Railway AI Systems Across Their Lifecycle / Team member / ongoing
• certAInty – A Certification Scheme for AI systems / Team member / completed
• Machine Protection and Autonomous Predictive Interlock System / Team member / completed

Publications

Written conference contributions, peer-reviewed

• Frischknecht-Gruber, C., Reif, M. and Fischer, A. (2026) 'BAAS: Benchmarking Adversarial Agent Strategies : a comparative study of gradient-based, reinforcement, and evolutionary paradigms for safety-critical scenario generation', in Matos, J. C. et al. (eds) Proceedings of European Safety and Reliability Conference (ESREL 2026). Singapore: Research Publishing, pp. 1058–1065. doi: 10.21256/zhaw-37049.
• Frischknecht-Gruber, C. et al. (2025) 'AI assessment in practice : implementing a certification scheme for AI trustworthiness', in Görge, R. et al. (eds) Symposium on Scaling AI Assessments (SAIA 2024). Schloss Dagstuhl – Leibniz-Zentrum für Informatik, pp. 15:1–15:18. doi: 10.4230/OASIcs.SAIA.2024.15.
• Frischknecht-Gruber, C. and Reif, M. U. (2024) 'Advancing artificial intelligence systems : alife and generative model applications', in 34th European Safety and Reliability Conference (ESREL), Cracow, Poland, 23-27 June 2024.
• Billeter, Y. et al. (2024) 'MLOps as enabler of trustworthy AI', in 2024 11th IEEE Swiss Conference on Data Science (SDS). IEEE, pp. 37–40. doi: 10.1109/SDS60720.2024.00013.
• Denzel, P. et al. (2024) 'Towards the certification of AI-based systems', in 2024 11th IEEE Swiss Conference on Data Science (SDS). IEEE, pp. 84–91. doi: 10.1109/SDS60720.2024.00020.
• Weng, J. et al. (2024) 'Certification scheme for artificial intelligence based systems', in 34th European Safety and Reliability Conference (ESREL), Cracow, Poland, 23-27 June 2024. ZHAW Zürcher Hochschule für Angewandte Wissenschaften. doi: 10.21256/zhaw-30549.
• Frischknecht-Gruber, C. et al. (2023) 'Ensuring safety in highly automated vehicles : a review of testing and validation methods for robustness and reliability', in Brito, M. P. et al. (eds) Proceeding of the 33rd European Safety and Reliability Conference. Singapore: Research Publishing, pp. 257–264. doi: 10.3850/978-981-18-8071-1_P414-cd.
• Brunner, S. et al. (2023) 'A comprehensive framework for ensuring the trustworthiness of AI systems', in Brito, M. P. et al. (eds) Proceeding of the 33rd European Safety and Reliability Conference. Singapore: Research Publishing, pp. 2772–2779. doi: 10.3850/978-981-18-8071-1_P230-cd.
• Brunner, S. et al. (2022) 'Deep Gaussian mixture model : a novelty detection method for time series', in Leva, M. C. et al. (eds) Proceedings of the 32nd European Safety and Reliability Conference. Singapore: Research Publishing, pp. 1291–1298. doi: 10.3850/978-981-18-5183-4_R22-12-325-cd.
• Frischknecht-Gruber, C., Reif, M. U. and Senn, C. (2022) 'Global efforts towards establishing safety directives for intelligent systems : review', in Proceedings of the 32nd European Safety and Reliability Conference. Singapore: Research Publishing, pp. 2420–2427. doi: 10.3850/978-981-18-5183-4_S11-11-472-cd.
• Frischknecht-Gruber, C. et al. (2017) 'Integration of security into the STAMP based safety analysis method CAST', in 2nd STAMP Workshop in JAPAN, Tokyo, Japan, 27-29 November 2017. Available at: https://www.ipa.go.jp/en/digital/complex_systems/g6ovkg0000005yrf-att/000063040.pdf.

Other publications

• Frischknecht-Gruber, C. et al. (2025) 'Assessment tool for trustworthy AI systems : operational workflows for compliance assessment with regulatory requirements', in AI Days @ HES-SO, Geneva and Lausanne, Switzerland, 27–29 January 2025. ZHAW Zürcher Hochschule für Angewandte Wissenschaften. doi: 10.21256/zhaw-32422.
• Frischknecht-Gruber, C., Krauss, S. S. and Reif, M. U. (2018) 'STPA-STRIDE : Safety & Security Analyse für komplexe Systeme', in Safe.tech 2018, München, Deutschland, 24.-25. April 2018.
• Frischknecht-Gruber, C., Marti, M. and Krauss, S. S. (2017) 'Adapting CAST for security incident analysis', in 5th European STAMP/STPA Workshop and Conference, Reykjavik, Iceland, 13-15 September 2017.

Oral conference contributions and abstracts

• Denzel, P. et al. (2023) 'A framework for assessing and certifying explainability of health-oriented AI systems', in Explainable AI in Medicine Workshop, Lugano, Switzerland, 2-3 November 2023.
• Frischknecht-Gruber, C. et al. (2018) 'Safety & cyber-security analysis based on systems-theory', in International Cross-Industry Safety Conference and European STAMP Workshop and Conference 2018, Amsterdam, Netherlands, 31 October - 2 November 2018.
• Reif, M. U., Krauss, S. S. and Frischknecht-Gruber, C. (2018) 'An approach to analyse functional safety, security and SOTIF based on a comprehensive analysis technique', in ISO 26262 - 2nd edition, Autonomous Driving & Cybersecurity, Stuttgart, Germany, 22-24 October 2018.

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