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2020 – today
- 2024
[c7]Tomas Bueno Momcilovic, Beat Buesser, Giulio Zizzo, Mark Purcell, Dian Balta:
Towards Assurance of LLM Adversarial Robustness using Ontology-Driven Argumentation. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2024: 121-128- [i10]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:
Attack Atlas: A Practitioner's Perspective on Challenges and Pitfalls in Red Teaming GenAI. CoRR abs/2409.15398 (2024) - [i9]Tomas Bueno Momcilovic, Dian Balta, Beat Buesser, Giulio Zizzo, Mark Purcell:
Developing Assurance Cases for Adversarial Robustness and Regulatory Compliance in LLMs. CoRR abs/2410.05304 (2024) - [i8]Tomas Bueno Momcilovic, Beat Buesser, Giulio Zizzo, Mark Purcell, Dian Balta:
Towards Assuring EU AI Act Compliance and Adversarial Robustness of LLMs. CoRR abs/2410.05306 (2024) - [i7]Tomas Bueno Momcilovic, Beat Buesser, Giulio Zizzo, Mark Purcell, Dian Balta:
Towards Assurance of LLM Adversarial Robustness using Ontology-Driven Argumentation. CoRR abs/2410.07962 (2024) - [i6]Tomas Bueno Momcilovic, Dian Balta, Beat Buesser, Giulio Zizzo, Mark Purcell:
Knowledge-Augmented Reasoning for EUAIA Compliance and Adversarial Robustness of LLMs. CoRR abs/2410.09078 (2024) - 2022
- [i5]Muhammad Zaid Hameed, Beat Buesser:
Boundary Adversarial Examples Against Adversarial Overfitting. CoRR abs/2211.14088 (2022) - 2021
- [c6]Hoang Thanh Lam, Beat Buesser, Hong Min, Tran Ngoc Minh, Martin Wistuba, Udayan Khurana, Gregory Bramble, Theodoros Salonidis, Dakuo Wang, Horst Samulowitz:
Automated Data Science for Relational Data. ICDE 2021: 2689-2692 - [i4]Ambrish Rawat, Mathieu Sinn, Beat Buesser:
Automated Robustness with Adversarial Training as a Post-Processing Step. CoRR abs/2109.02532 (2021) - 2020
- [c5]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:
Survey on Automated End-to-End Data Science? IJCNN 2020: 1-9 - [i3]Giulio Zizzo, Ambrish Rawat, Mathieu Sinn, Beat Buesser:
FAT: Federated Adversarial Training. CoRR abs/2012.01791 (2020)
2010 – 2019
- 2019
- [c4]Bei Chen, Beat Buesser, Kelsey DiPietro:
Recurrent Neural Networks for Autoregressive Moving Average Model Selection. ICBK 2019: 33-41 - [c3]Akihiro Kishimoto, Beat Buesser, Bei Chen, Adi Botea:
Depth-First Proof-Number Search with Heuristic Edge Cost and Application to Chemical Synthesis Planning. NeurIPS 2019: 7224-7234 - [i2]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:
How can AI Automate End-to-End Data Science? CoRR abs/1910.14436 (2019) - 2018
- [c2]Akihiro Kishimoto, Beat Buesser, Adi Botea:
AI Meets Chemistry. AAAI 2018: 7978-7982 - [i1]Hoang Thanh Lam, Tran Ngoc Minh, Mathieu Sinn, Beat Buesser, Martin Wistuba:
Learning Features For Relational Data. CoRR abs/1801.05372 (2018) - 2017
- [c1]John Savage, Akihiro Kishimoto, Beat Buesser, Ernesto Diaz-Aviles, Carlos Alzate:
Chemical Reactant Recommendation Using a Network of Organic Chemistry. RecSys 2017: 210-214
Coauthor Index
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