Beat Buesser

IBM Research - Zurich — Switzerland

Environmental Science · Physical Sciences

16h-index853citations40works0.02yr avg
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Research Topics

Coagulation and Flocculation Studies(8), Particle Dynamics in Fluid Flows(6), Adversarial Robustness in Machine Learning(5), nanoparticles nucleation surface interactions(5), Advanced Chemical Physics Studies(4)

Publications40 total

Developing Assurance Cases for Adversarial Robustness and Regulatory Compliance in LLMs
2024
Towards Assurance of LLM Adversarial Robustness using Ontology-Driven Argumentation
arXiv (Cornell University)·2024Open Access
Knowledge-Augmented Reasoning for EUAIA Compliance and Adversarial Robustness of LLMs
arXiv (Cornell University)·2024Open Access
Developing Assurance Cases for Adversarial Robustness and Regulatory Compliance in LLMs
arXiv (Cornell University)·2024Open Access
Towards Assuring EU AI Act Compliance and Adversarial Robustness of LLMs
arXiv (Cornell University)·2024Open Access
Attack Atlas: A Practitioner's Perspective on Challenges and Pitfalls in Red Teaming GenAI
arXiv (Cornell University)·2024Open Access
Towards Privacy Preserving LLMs Training
2024Open Access
Private Information Leakage in LLMs
2024Open Access
Automated reaction kinetics and network exploration (Arkane): A statistical mechanics, thermodynamics, transition state theory, and master equation software
International Journal of Chemical Kinetics·2023· 39 citedOpen Access
Boundary Adversarial Examples Against Adversarial Overfitting
arXiv (Cornell University)·2022Open Access
Automated Reaction Kinetics and Network Exploration (Arkane): A Statistical Mechanics, Thermodynamics, Transition State Theory, and Master Equation Software
2022· 16 citedOpen Access
Automated Robustness with Adversarial Training as a Post-Processing Step
arXiv (Cornell University)·2021Open Access
Automated Data Science for Relational Data
2021· 12 cited
FAT: Federated Adversarial Training
arXiv (Cornell University)·2020· 3 citedOpen Access
AI Meets Chemistry
2020· 2 citedOpen Access
Survey on Automated End-to-End Data Science?
2020· 11 cited
Recurrent Neural Networks for Autoregressive Moving Average Model Selection
2019· 1 cited
How can AI Automate End-to-End Data Science?
arXiv (Cornell University)·2019· 5 citedOpen Access
Depth-First Proof-Number Search with Heuristic Edge Cost and Application to Chemical Synthesis Planning
Neural Information Processing Systems·2019· 28 cited
AI Meets Chemistry
Proceedings of the AAAI Conference on Artificial Intelligence·2018· 5 citedOpen Access
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Frequent Co-authors

Sotiris E. Pratsinis(11), Giulio Zizzo(7), Mark Purcell(6), Alon Grinberg Dana(5), William H. Green(5), Martin Wistuba(5), Ambrish Rawat(5), Tomas Bueno Momčilović(5), Dian Balta(5), Connie W. Gao(4), Nick Vandewiele(4), Akihiro Kishimoto(4), Mathieu Sinn(4), Arto Juhani Gröhn(3), Shamel S. Merchant(3), Enoch Dames(3), Richard H. West(3), Adi Botea(3), Hoang Thanh Lam(3), Tran Ngoc Minh(3)