| A survey of privacy attacks in machine learning M Rigaki, S Garcia ACM Computing Surveys 56 (4), 1-34, 2023 | 298 | 2023 |
| Bringing a GAN to a Knife-fight: Adapting Malware Communication to Avoid Detection M Rigaki, S Garcia IEEE Security and Privacy Workshops (SPW), pp. 70-75, 2018 | 167* | 2018 |
| Adversarial Deep Learning Against Intrusion Detection Classifiers M Rigaki Luleå University of Technology, 2017 | 61 | 2017 |
| DNS tunneling: A deep learning based lexicographical detection approach F Palau, C Catania, J Guerra, S Garcia, M Rigaki arXiv preprint arXiv:2006.06122, 2020 | 28 | 2020 |
| Out of the Cage: How Stochastic Parrots Win in Cyber Security Environments M Rigaki, O Lukáš, C Catania, S Garcia Proceedings of the 16th International Conference on Agents and Artificial …, 2024 | 12 | 2024 |
| Stealing and Evading Malware Classifiers and Antivirus at Low False Positive Conditions M Rigaki, S Garcia Computers & Security 129, 17, 2023 | 8* | 2023 |
| Toward Intelligent Autonomous Agents for Cyber Defense: Report of the 2017 Workshop by the North Atlantic Treaty Organization (NATO) Research Group IST-152-RTG A Kott, R Thomas, M Drasar, M Kont, A Poylisher, B Blakely, P Theron, ... https://arxiv.org/abs/1804.07646, 2018 | 8 | 2018 |
| Machete: Dissecting the operations of a cyber espionage group in latin america V Valeros, M Rigaki, S Garcia 2019 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW …, 2019 | 5 | 2019 |
| Detecting DNS threats: A deep learning model to rule them all F Palau, C Catania, J Guerra, SJ García, M Rigaki XX Simposio Argentino de Inteligencia Artificial (ASAI 2019)-JAIIO 48 (Salta), 2019 | 5 | 2019 |
| Arming malware with GANs M Rigaki Security Session 2018, 2018 | 3 | 2018 |
| The Power of MEME: Adversarial Malware Creation with Model-Based Reinforcement Learning M Rigaki, S Garcia European Symposium on Research in Computer Security, 44-64, 2023 | 2 | 2023 |
| Counteracting Concept Drift by Learning with Future Malware Predictions B Bosansky, L Hospodkova, M Najman, M Rigaki, E Babayeva, V Lisy arXiv preprint arXiv:2404.09352, 2024 | 1 | 2024 |
| Attacker profiling through analysis of attack patterns in geographically distributed honeypots V Valeros, M Rigaki, S Garcia arXiv preprint arXiv:2305.01346, 2023 | 1 | 2023 |
| A study of machete cyber espionage operations in Latin America V Valeros, M Rigaki, K Babayeva, S García Virus Bulletin International Conference, 2019 | 1 | 2019 |
| Hackphyr: A Local Fine-Tuned LLM Agent for Network Security Environments M Rigaki, C Catania, S Garcia arXiv preprint arXiv:2409.11276, 2024 | | 2024 |
| Adversarial Machine Learning M Rigaki | | |
Sebastian GarciaResearcher in Czech Technical University in Prague [CTU, FEE]. PhD.Adresse e-mail validée de agents.fel.cvut.cz