Beat Buesser

According to our database, Beat Buesser authored at least 16 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Knowledge-Augmented Reasoning for EUAIA Compliance and Adversarial Robustness of LLMs.

Tomas Bueno Momcilovic, Dian Balta, Beat Buesser, Giulio Zizzo, Mark Purcell

CoRR, 2024

Towards Assuring EU AI Act Compliance and Adversarial Robustness of LLMs.

Tomas Bueno Momcilovic, Beat Buesser, Giulio Zizzo, Mark Purcell, Dian Balta

CoRR, 2024

Attack Atlas: A Practitioner's Perspective on Challenges and Pitfalls in Red Teaming GenAI.

Ambrish Rawat, Stefan Schoepf, Giulio Zizzo, Giandomenico Cornacchia, Muhammad Zaid Hameed, Kieran Fraser, Erik Miehling, Beat Buesser, Elizabeth M. Daly, Mark Purcell, Prasanna Sattigeri, Pin-Yu Chen, Kush R. Varshney

CoRR, 2024

Towards Assurance of LLM Adversarial Robustness using Ontology-Driven Argumentation.

Tomas Bueno Momcilovic, Beat Buesser, Giulio Zizzo, Mark Purcell, Dian Balta

Proceedings of the Joint Proceedings of the xAI 2024 Late-breaking Work, 2024

Developing Assurance Cases for Adversarial Robustness and Regulatory Compliance in LLMs.

Tomas Bueno Momcilovic, Dian Balta, Beat Buesser, Giulio Zizzo, Mark Purcell

Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024

2022

Boundary Adversarial Examples Against Adversarial Overfitting.

Muhammad Zaid Hameed, Beat Buesser

CoRR, 2022

2021

Automated Robustness with Adversarial Training as a Post-Processing Step.

Ambrish Rawat, Mathieu Sinn, Beat Buesser

CoRR, 2021

Automated Data Science for Relational Data.

Hoang Thanh Lam, Beat Buesser, Hong Min, Tran Ngoc Minh, Martin Wistuba, Udayan Khurana, Gregory Bramble, Theodoros Salonidis, Dakuo Wang, Horst Samulowitz

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020

FAT: Federated Adversarial Training.

Giulio Zizzo, Ambrish Rawat, Mathieu Sinn, Beat Buesser

CoRR, 2020

Survey on Automated End-to-End Data Science?

Djallel Bouneffouf, Charu C. Aggarwal, Thanh Hoang, Udayan Khurana, Horst Samulowitz, Beat Buesser, Sijia Liu, Tejaswini Pedapati, Parikshit Ram, Ambrish Rawat, Martin Wistuba, Alexander G. Gray

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

How can AI Automate End-to-End Data Science?

Charu C. Aggarwal, Djallel Bouneffouf, Horst Samulowitz, Beat Buesser, Thanh Hoang, Udayan Khurana, Sijia Liu, Tejaswini Pedapati, Parikshit Ram, Ambrish Rawat, Martin Wistuba, Alexander G. Gray

CoRR, 2019

Depth-First Proof-Number Search with Heuristic Edge Cost and Application to Chemical Synthesis Planning.

Akihiro Kishimoto, Beat Buesser, Bei Chen, Adi Botea

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Recurrent Neural Networks for Autoregressive Moving Average Model Selection.

Bei Chen, Beat Buesser, Kelsey DiPietro

Proceedings of the 2019 IEEE International Conference on Big Knowledge, 2019

2018

Learning Features For Relational Data.

Hoang Thanh Lam, Tran Ngoc Minh, Mathieu Sinn, Beat Buesser, Martin Wistuba

CoRR, 2018

AI Meets Chemistry.

Akihiro Kishimoto, Beat Buesser, Adi Botea

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Chemical Reactant Recommendation Using a Network of Organic Chemistry.

John Savage, Akihiro Kishimoto, Beat Buesser, Ernesto Diaz-Aviles, Carlos Alzate

Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017