| 2024 | ACSAC | Fine-tuning Large Language Models for DGA and DNS Exfiltration Detection. | Md. Abu Sayed, Asif Rahman, Christopher Kiekintveld, Sebastin Garca |
| 2024 | ICAART | Bridging the Explanation Gap in AI Security: A Task-Driven Approach to XAI Methods Evaluation. | Ondrej Luks, Sebastin Garca |
| 2024 | ICAART | Out of the Cage: How Stochastic Parrots Win in Cyber Security Environments. | Maria Rigaki, Ondrej Luks, Carlos Adrin Catania, Sebastin Garca |
| 2024 | ICAART | Prompt. Exploit. Repeat: Automating Network Security Testing with LLMs. | Maria Rigaki, Ondrej Luks, Carlos Adrin Catania, Sebastin Garca |
| 2023 | ESORICS | The Power of MEME: Adversarial Malware Creation with Model-Based Reinforcement Learning. | Maria Rigaki, Sebastin Garca |
| 2023 | ICAART | Catch Me if You Can: Improving Adversaries in Cyber-Security with Q-Learning Algorithms. | Arti Bandhana, Ondrej Luks, Sebastin Garca, Toms Kroupa |
| 2022 | ESORICS | Large Scale Analysis of DoH Deployment on the Internet. | Sebastin Garca, Joaqun Bogado, Karel Hynek, Dmitrii Vekshin, Toms Cejka, Armin Wasicek |
| 2018 | SP | Bringing a GAN to a Knife-Fight: Adapting Malware Communication to Avoid Detection. | Maria Rigaki, Sebastin Garca |
| 2017 | LCN | Reliable Machine Learning for Networking: Key Issues and Approaches. | Christian A. Hammerschmidt, Sebastin Garca, Sicco Verwer, Radu State |
| 2016 | ECAI | Detecting the Behavioral Relationships of Malware Connections. | Sebastin Garca, Michal Pechoucek |