Ondrej Lukás

According to our database, Ondrej Lukás authored at least 9 papers between 2021 and 2026.

Collaborative distances:

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

2026

Evaluating Generalization Mechanisms in Autonomous Cyber Attack Agents.

Ondrej Lukás, Jihoon Shin, Emilia Rivas, Diego Forni, Maria Rigaki, Carlos Adrián Catania, Aritran Piplai, Christopher Kiekintveld, Sebastián García

CoRR, March, 2026

2024

Exploring Agent Behaviors in Network Security through Trajectory Clustering.

Ondrej Lukás, Sebastián García

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

Prompt. Exploit. Repeat: Automating Network Security Testing with LLMs.

Maria Rigaki, Ondrej Lukás, Carlos Adrián Catania, Sebastián García

Proceedings of the Agents and Artificial Intelligence - 16th International Conference, 2024

Out of the Cage: How Stochastic Parrots Win in Cyber Security Environments.

Maria Rigaki, Ondrej Lukás, Carlos Adrián Catania, Sebastián García

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

Bridging the Explanation Gap in AI Security: A Task-Driven Approach to XAI Methods Evaluation.

Ondrej Lukás, Sebastián García

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

2023

Catch Me if You Can: Improving Adversaries in Cyber-Security with Q-Learning Algorithms.

Arti Bandhana, Ondrej Lukás, Sebastián García, Tomás Kroupa

Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

2021

Hazelcast Jet: Low-latency Stream Processing at the 99.99th Percentile.

Can Gencer, Marko Topolnik, Viliam Durina, Emin Demirci, Ensar B. Kahveci, Ali Gürbüz, József Bartók, Grzegorz Gierlach, Frantisek Hartman, Ufuk Yilmaz, Ondrej Lukás, Mehmet Dogan, Mohamed Mandouh, Marios Fragkoulis, Asterios Katsifodimos

Proc. VLDB Endow., 2021

Disrupting Active Directory Attacks with Deep Learning for Organic Honeyuser Placement.

Ondrej Lukás, Sebastián García

Proceedings of the Deep Learning Theory and Applications, 2021

Deep Generative Models to Extend Active Directory Graphs with Honeypot Users.

Ondrej Lukás, Sebastián García

Proceedings of the 2nd International Conference on Deep Learning Theory and Applications, 2021