Luca Beurer-Kellner

Orcid: 0000-0001-7734-3106

According to our database1, Luca Beurer-Kellner authored at least 15 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Technical Report: Exploring the Emerging Threats of the Agent Skill Ecosystem.
CoRR, May, 2026

Trojan Hippo: Weaponizing Agent Memory for Data Exfiltration.
CoRR, May, 2026

Skill-Inject: Measuring Agent Vulnerability to Skill File Attacks.
CoRR, February, 2026

2025
CommandSans: Securing AI Agents with Surgical Precision Prompt Sanitization.
CoRR, October, 2025

Design Patterns for Securing LLM Agents against Prompt Injections.
CoRR, June, 2025

2024
AgentDojo: A Dynamic Environment to Evaluate Attacks and Defenses for LLM Agents.
CoRR, 2024

AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Prompt Sketching for Large Language Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Guiding LLMs The Right Way: Fast, Non-Invasive Constrained Generation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Controlled Text Generation via Language Model Arithmetic.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
A Transformational Approach to Managing Data Model Evolution of Web Services.
IEEE Trans. Serv. Comput., 2023

Prompting Is Programming: A Query Language for Large Language Models.
Proc. ACM Program. Lang., 2023

2022
Learning to Configure Computer Networks with Neural Algorithmic Reasoning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

On Distribution Shift in Learning-based Bug Detectors.
Proceedings of the International Conference on Machine Learning, 2022

2020
Round-trip migration of object-oriented data model instances.
Proceedings of the TTC 2020/2021, 2020


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