Bringing a GAN to a Knife-Fight: Adapting Malware Communication to Avoid Detection. - Maria Rigaki; Sebastián García (IEEE Symposium on Security and Privacy Workshops, 2018)

Toward Intelligent Autonomous Agents for Cyber Defense: Report of the 2017 Workshop by the North Atlantic Treaty Organization (NATO) Research Group IST-152-RTG. - Alexander Kott; Ryan Thomas; Martin Drasar; Markus Kont; Alexander Poylisher; Benjamin A. Blakely; Paul Théron; Nathaniel Evans; Nandi Leslie; Rajdeep Singh; Maria Rigaki; Shanchieh Jay Yang; et al. (CoRR, 2018)

Machete: Dissecting the Operations of a Cyber Espionage Group in Latin America. - Veronica Valeros; Maria Rigaki; Sebastián García (EuroS&P Workshops, 2019)

DNS Tunneling: A Deep Learning based Lexicographical Detection Approach. - Franco Palau; Carlos Adrián Catania; Jorge L. Guerra; Sebastián García; Maria Rigaki (CoRR, 2020)

Stealing Malware Classifiers and AVs at Low False Positive Conditions. - Maria Rigaki; Sebastián García (CoRR, 2022)

The Power of MEME: Adversarial Malware Creation with Model-Based Reinforcement Learning. - Maria Rigaki; Sebastián García (ESORICS (4), 2023)

Attacker Profiling Through Analysis of Attack Patterns in Geographically Distributed Honeypots. - Veronica Valeros; Maria Rigaki; Sebastián García (CoRR, 2023)

Stealing and evading malware classifiers and antivirus at low false positive conditions. - Maria Rigaki; Sebastián García (Comput. Secur., 2023)

Out of the Cage: How Stochastic Parrots Win in Cyber Security Environments. - Maria Rigaki; Ondrej Lukás; Carlos Adrián Catania; Sebastián García (ICAART (3), 2024)

Prompt. Exploit. Repeat: Automating Network Security Testing with LLMs. - Maria Rigaki; Ondrej Lukás; Carlos Catania; Sebastián García (ICAART (Revised Selected Paper, 2), 2024)

Counteracting Concept Drift by Learning with Future Malware Predictions. - Branislav Bosanský; Lada Hospodkova; Michal Najman; Maria Rigaki; Elnaz Babayeva; Viliam Lisý (CoRR, 2024)

Hackphyr: A Local Fine-Tuned LLM Agent for Network Security Environments. - Maria Rigaki; Carlos Adrián Catania; Sebastián García (CoRR, 2024)

A Survey of Privacy Attacks in Machine Learning. - Maria Rigaki; Sebastián García (ACM Comput. Surv., 2024)

DeepRed: A Deep Learning-Powered Command and Control Framework for Multi-Stage Red Teaming Against ML-based Network Intrusion Detection Systems. - Mehrdad Hajizadeh; Pegah Golchin; Ehsan Nowroozi; Maria Rigaki; Veronica Valeros; Sebastián García; Mauro Conti; Thomas Bauschert (WOOT, 2025)