| 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 | 56 | 2018 |
| Adversarial Deep Learning Against Intrusion Detection Classifiers M Rigaki Luleå University of Technology, 2017 | 15 | 2017 |
| A survey of privacy attacks in machine learning M Rigaki, S Garcia arXiv preprint arXiv:2007.07646, 2020 | 7 | 2020 |
| 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 | 3 | 2020 |
| 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 | 1 | 2019 |
| 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 | 1 | 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 | | 2019 |
| A STUDY OF MACHETE CYBER ESPIONAGE OPERATIONS IN LATIN AMERICA V Valeros, M Rigaki, K Babayeva, S García | | |
| Adversarial Machine Learning M Rigaki | | |
Sebastian GarciaResearcher in Czech Technical University in Prague [CTU, FEE]. PhD.Verified email at agents.fel.cvut.cz
